ibm power systems: designed for data
DESCRIPTION
IBM Power Systems: Designed for Data Open innovation to put data to work across the enterpriseTRANSCRIPT
IBM Power Systems Designed for Data Open innovation to put data to work across the enterprise
Digitized data will grow by 50 to 6 trillion TB in this year alone
80 of all data is unstructured and growing
15X the rate of structured data
73 of organizations
have invested or plan to invest in
Big Data amp Analytics
Big Data is becoming the New Competitive Advantage
source grow by 50 - IDC Predictions 2014 Battles for Dominance mdash and Survival mdash on the 3rd Platform Frank Gens December 2013 IDC 244606 httpwwwsapexecutivenetworkcomphocadownloadRTDPretfebidc predictions 2014 battles for dominance - and survival - on the 3rd platform 2pdf source 73 percent of organizations - httpwwwgartnercomnewsroomid2848718
The Opportunities from Big Data amp Analytics are Infinite
1000X faster insights
75 productivity
improvement
10X storage
space savings 35X less
infrastructure
68 less attrition
among high-value customers
50 increase sales order capacity
140X faster queries
Source(s) Fiserv (Case Study) NC State Univ (Video) Coca Cola (eBook Video Case Study) STO (Case Study) Dillards (Video) BCBS of Tenn (eBook) BCBS of Tenn (eBook) Fossil (based on customer internal benchmarks)
First processor designed and optimized for big data amp analytics with POWER8
innovative design
Delivering the worldrsquos first open server ecosystem
revolutionizing the way IT is developed amp delivered
Superior cloud price performance
advantages amp security to move data-centric
applications to the cloud
Designed for big data
Open Innovation platform
Superior cloud economics
Power Systems with POWER8 are built with open innovation to put data to work across the enterprise
IBM Power Systems built on
Processors flexible fast execution of
analytics algorithms
Memory large fast workspace to
maximize business insight
Data Bandwidth bring massive amounts
of information to compute resources in real-time
4X threads per core vs x86
(up to 1500 threads per system)
4X memory bandwidth vs x86
(up to 16TB of memory)
24X more IO bandwidth
than POWER7
Designed for Big Data optimized Big Data amp Analytics performance
Optimized for a broad range of big data amp analytics workloads
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Industry Solutions 5X
Faster
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Digitized data will grow by 50 to 6 trillion TB in this year alone
80 of all data is unstructured and growing
15X the rate of structured data
73 of organizations
have invested or plan to invest in
Big Data amp Analytics
Big Data is becoming the New Competitive Advantage
source grow by 50 - IDC Predictions 2014 Battles for Dominance mdash and Survival mdash on the 3rd Platform Frank Gens December 2013 IDC 244606 httpwwwsapexecutivenetworkcomphocadownloadRTDPretfebidc predictions 2014 battles for dominance - and survival - on the 3rd platform 2pdf source 73 percent of organizations - httpwwwgartnercomnewsroomid2848718
The Opportunities from Big Data amp Analytics are Infinite
1000X faster insights
75 productivity
improvement
10X storage
space savings 35X less
infrastructure
68 less attrition
among high-value customers
50 increase sales order capacity
140X faster queries
Source(s) Fiserv (Case Study) NC State Univ (Video) Coca Cola (eBook Video Case Study) STO (Case Study) Dillards (Video) BCBS of Tenn (eBook) BCBS of Tenn (eBook) Fossil (based on customer internal benchmarks)
First processor designed and optimized for big data amp analytics with POWER8
innovative design
Delivering the worldrsquos first open server ecosystem
revolutionizing the way IT is developed amp delivered
Superior cloud price performance
advantages amp security to move data-centric
applications to the cloud
Designed for big data
Open Innovation platform
Superior cloud economics
Power Systems with POWER8 are built with open innovation to put data to work across the enterprise
IBM Power Systems built on
Processors flexible fast execution of
analytics algorithms
Memory large fast workspace to
maximize business insight
Data Bandwidth bring massive amounts
of information to compute resources in real-time
4X threads per core vs x86
(up to 1500 threads per system)
4X memory bandwidth vs x86
(up to 16TB of memory)
24X more IO bandwidth
than POWER7
Designed for Big Data optimized Big Data amp Analytics performance
Optimized for a broad range of big data amp analytics workloads
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Industry Solutions 5X
Faster
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
The Opportunities from Big Data amp Analytics are Infinite
1000X faster insights
75 productivity
improvement
10X storage
space savings 35X less
infrastructure
68 less attrition
among high-value customers
50 increase sales order capacity
140X faster queries
Source(s) Fiserv (Case Study) NC State Univ (Video) Coca Cola (eBook Video Case Study) STO (Case Study) Dillards (Video) BCBS of Tenn (eBook) BCBS of Tenn (eBook) Fossil (based on customer internal benchmarks)
First processor designed and optimized for big data amp analytics with POWER8
innovative design
Delivering the worldrsquos first open server ecosystem
revolutionizing the way IT is developed amp delivered
Superior cloud price performance
advantages amp security to move data-centric
applications to the cloud
Designed for big data
Open Innovation platform
Superior cloud economics
Power Systems with POWER8 are built with open innovation to put data to work across the enterprise
IBM Power Systems built on
Processors flexible fast execution of
analytics algorithms
Memory large fast workspace to
maximize business insight
Data Bandwidth bring massive amounts
of information to compute resources in real-time
4X threads per core vs x86
(up to 1500 threads per system)
4X memory bandwidth vs x86
(up to 16TB of memory)
24X more IO bandwidth
than POWER7
Designed for Big Data optimized Big Data amp Analytics performance
Optimized for a broad range of big data amp analytics workloads
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Industry Solutions 5X
Faster
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
First processor designed and optimized for big data amp analytics with POWER8
innovative design
Delivering the worldrsquos first open server ecosystem
revolutionizing the way IT is developed amp delivered
Superior cloud price performance
advantages amp security to move data-centric
applications to the cloud
Designed for big data
Open Innovation platform
Superior cloud economics
Power Systems with POWER8 are built with open innovation to put data to work across the enterprise
IBM Power Systems built on
Processors flexible fast execution of
analytics algorithms
Memory large fast workspace to
maximize business insight
Data Bandwidth bring massive amounts
of information to compute resources in real-time
4X threads per core vs x86
(up to 1500 threads per system)
4X memory bandwidth vs x86
(up to 16TB of memory)
24X more IO bandwidth
than POWER7
Designed for Big Data optimized Big Data amp Analytics performance
Optimized for a broad range of big data amp analytics workloads
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Industry Solutions 5X
Faster
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Processors flexible fast execution of
analytics algorithms
Memory large fast workspace to
maximize business insight
Data Bandwidth bring massive amounts
of information to compute resources in real-time
4X threads per core vs x86
(up to 1500 threads per system)
4X memory bandwidth vs x86
(up to 16TB of memory)
24X more IO bandwidth
than POWER7
Designed for Big Data optimized Big Data amp Analytics performance
Optimized for a broad range of big data amp analytics workloads
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Industry Solutions 5X
Faster
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Power S812L Power S822L Power S824L
1 or 2 sockets 10 or 12 coressocket Up to 1 TB of Memory
1 or 2 sockets 6 810 or 12 coressocket Up to 2 TB of Memory
Expanding the POWER8 Scale-out server offerings
Power S814 Power S822 Power S824
Source httpwwwibmcomsystemspowerannouncementhtml
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Introducing record breaking Enterprise Systems with POWER8 designed to take on the most complex data challenges
Tackle your largest workloads with increased system scalability
Deliver insights in real time with increased performance per-core
Maximize your customers experience with Enterprise RAS
Power E870 bull Up to 80 cores bull 32 or 40 core nodes (5U) bull Up to 4TB Memory bull 1 or 2 Nodes per system
Power E880 bull Up to 128 cores bull 32 or 48 core nodes (5U) bull Up to 16 TB Memory bull 1 to 4 Nodes per system
Reduce costs with increased energy efficiency
Manage the peaks and valleys of workloads Power Enterprise Pools
Manage a wider range of workloads with up to 20 VMs per-core
Power E880
Power E870
Initial GA supports 2 nodes 64 cores 8 TB with MES to 3 or 4 nodes in 2015
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Designed for Data Big Memory for Big Data
Speed access to data with larger in-memory databases and consolidate more applications with 2TB of installed memory in Scale-out Systems
Support the bigger data demands and consolidate large databases of complex mission critical applications securely with 16TB of memory on new Power Enterprise Systems
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
241 consolidation
8X faster insights
Data Engine for Analytics
CAPI-attached Flash
3X less storage
Open innovation to deliver insight to the point of impact with Big Data amp Analytics on Power Systems
NVIDIA GPU Accelerator
82X faster insights Next Generation In-Memory
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches source for 82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Designed for Big Data Drive Infrastructure Optimization
24X infrastructure consolidation savings
vs x86 for in-memory data
IBM Data Engine for NoSQL Solution
allows clients to crunch data faster and shrink data center footprints
Reduce server footprint with in-memory consolidation
Cost efficient with 3x lower cost per user
IBM Data Engine for NoSQL Solution bull IBM Power S822L bull CAPI-Attached FPGA Accelerator bull IBM FlashSystem 840 bull Ubuntu Linux bull Redis Software
source for 241 system consolidation ratio (121 rack density improvement) based on a single IBM S824 (24 cores POWER8 35 GHz) 256GB RAM AIX 71 with 40 TB memory based Flash replacing 24 HP DL380p 24 cores E5-2697 v2 27 GHz) 256GB RAM SuSE Linux 11SP3 Inbound network limits performance to 1M IOPs in both scenarios equal capacity (user data) in both cases x86 cost includes 10k$ for 2x 1U switches
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
Runs pattern extraction analytic workloads faster
Delivers faster results and lower energy costs by accelerating processor intensive applications
Power System S824L bull Up to 24 POWER8 cores bull Up to 1 TB of memory bull Up to 2 NVIDIA K40 GPU Accelerators bull Ubuntu Linux running bare metal
8X faster analytics workloads that extract patterns
from large amounts of data
Open innovation with POWER8 and NVIDIA
GPU technology borne of the OpenPOWER Foundation
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Big Data amp Analytics Solutions for Fastest Time to Value
DataStage
POWER8 Data Optimized Solutions
bull Simple to Acquire Order server storage software and support from a single vendor
bull Simple to Deploy Pre-installed and pre-optimized server storage amp software
bull Simple to Implement Highly scalable to grow as your analytics need change
IBM BLU Acceleration Solution Next generation in-memory database technology for analytics at the speed of thought
IBM Solution for Analytics Enable rapid deployment of business and predictive analytics
IBM Data Engine for Analytics Innovation that optimizes unstructured big data performance
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
ldquoWhile traditional TV ratings research will continue to be important it must be augmented by social media intelligencerdquo
-- KC Leung Senior Manager Marketing Research and Information Department
Unlock the value of customer sentiment in social media
TVB will mine more than three decades of program ratings data to understand the trends of media consumption habits
bull IBM Social Media Analytics (SaaS) bull IBM DB2 with BLU Acceleration bull IBM Cognos BI IBM DataStage bull IBM Power Systems bull IBM Storwize V7000
Hong Kongrsquos first wireless commercial television station implements social media analytics to increase ratings
Learn more (Press)
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
ldquoWe cut report runtimes by up to 98 percent thanks to IBM DB2 with BLU Acceleration (on Power Systems) technology ndash without changing operations processes or investing in new hardware or softwarerdquo
-- Bernhard Herzog Team Manager Information Technology SAP Balluff
Faster insight into critical data for better business decisions
Achieved 98 faster access to business data 50 faster SAP ERP response times 7x faster access to documents and near real-time access to essential information
bull IBM Power Systems bull IBM PowerVM PowerHA bull IBM DB2 with BLU Acceleration bull SAP Business Warehouse ERP bull IBM Storage amp Services
World-leading manufacturer of sensor solutions gained faster insight into markets and customers
Learn more (Press Case Study)
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Instructions Data
Results
C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8
Next Generation In-Memory In-memory columnar processing with dynamic movement of data from storage
Actionable Compression Patented compression that preserves order so data can be used without decompressing
Parallel Vector Processing Multi-core and SIMD parallelism (Single Instruction Multiple Data)
Data Skipping Skips unnecessary processing of irrelevant data
Encoded
IBM DB2 with BLU Acceleration Unmatched Innovation from IBM Research amp Development
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
The System 32 cores 1TB memory 10TB table with 100 columns and 10 years of data The Query How many ldquosalesrdquo did we have in 2010
ndash SELECT COUNT() from MYTABLE where YEAR = lsquo2010rsquo
The Result In seconds or less as each CPU core examines the equivalent of just 8MB of data
10TB data
Actionable Compression
reduces to 1TB In-memory
Parallel Processing 32MB linear scan on each core via
Vector Processing Scans as fast as
8MB through SIMD Result in
seconds or less
Column Processing reduces to 10GB
Data Skipping reduces to 1GB
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA
DATA DATA DATA
DATA DATA DATA
BLU Acceleration Illustration 10TB query in seconds or less
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Cognos BI and DB2 with BLU Acceleration on POWER8 Fast on Fast on Fast
Acceleration of analytics queries for reporting
82X is based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
82X faster
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
The more concurrency and complexity the greater the performance gains from POWER8 versus x86
Based on IBM internal tests as of April 17 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 26TB BI workload in a controlled laboratory environment Test measured 60 concurrent user report throughput executing identical Cognos report workloads Competitor configuration HP DL380p 24 cores 256GB RAM Competitor row-store database SuSE Linux 11SP3 (Database) and HP DL380p 16 cores 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) IBM configuration IBM S824 24 cores 256GB RAM DB2 105 AIX 71 TL2 (Database) and IBM S822L 16 of 20 cores activated 384GB RAM Cognos 10211 SuSE Linux 11SP3 (Cognos) Results may not be typical and will vary based on actual workload configuration applications queries and other variables in a production environment
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
What are Industry Analysts saying about BLU Acceleration on Power Systems
httpbitly1ndCUmA
httpbitly1ndGxZU
IBM DB2 with BLU Acceleration on POWER8 for SAP A No-Compromise Transactional and Analytic Platform
IBM DB2 with BLU Acceleration on POWER8 for Cognos BI Delivers higher levels of performance while controlling costs
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
IBM can help you build your solution on the platform that was designed for big data amp analytics
All Data
Key Business Processes
Unstructured Data
Structured Data
Industry Solutions
IBM Watson Cognitive
Business amp Predictive Analytics
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Power Systems are designed for Big Data amp Analytics
3X less storage infrastructure
for Hadoop deployments vs typical x862
IBM Data Engine for Analytics designed to help clients speed up
insights on massive amounts of data
Simplify operations - easy deploy and manage with 3x less storage infrastructure
Adapt and scale to your changing analytics needs
IBM Data Engine for Analytics bull POWER8 Scale-out servers bull Red Hat Linux bull BigInsights (Hadoop) amp Streams bull Platform Computing bull Elastic Storage Server (GPFS)
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Delivering Customer Value
Computing environment allowing students to run analytics models on structured and unstructured data with IBM Power Systems
37x FASTER INDEXING 14 days to 9 hours
35x LESS INFRASTRUCTURE 14 x86 servers to 4 Power servers
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
The Business Case for Using Unstructured Text Analytics on IBM Power Systems for Critical Decision Making
httpbitly1eCTJVu
Industry Company Question Sources Outcome Temporary workforce Kelly Services
Develop new service offerings in healthcare staffing
SEC URLs trade journals professional journals insurance providers
Decision to move forward in an unexpected healthcare domain
Industrial Gases Air Products
Find new customers and market opportunities
SEC news feeds industry publications building permits
Identification of a new customer planning to build new facilities
University NC State
Identify commercial partners for new technologies
SEC URLs industry publications
Potential partners identified for collaborations
Clinical Research Organization PRA International
Provide business intelligence for new clinical trials
Clintrials PubMed Identify new physicianshospitals with expertise in areas of clinical trials
Non-Governmental Organization Clinton Health Care Access Initiative (CHAI)
Find the fit between new technologies and market opportunities for disease diagnostics
Clintrials PubMed VC firms
Identification of research labs active in cutting edge diagnostic research
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
What are Industry Analysts saying about Hadoop and Streams on Power Systems
httpibmco1pdGES9
http
Why Linux on Power Systems should be your system of choice for unstructured big data amp analytics
How companies are gaining high value insights with big data amp analytics solutions built on IBM Power Systems
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Join Power Systems in social media
Where to learn more about Big Data amp Analytics on IBM Power Systems
Start the conversation with your IBM Representative or Business Partner
Connect with Power on Linkedin bitlypoweronlinkedin
Like us on Facebook bitlypoweronfacebook
Watch us on YouTube bitlypoweronyoutube
Follow us on Twitter PowerSystems OpenPower IBMBigData IBMAnalytics IBMWatson IBMBLU IBMCognos IBMSPSS IBMStream IBMBigInsights BobFriske
wwwibmcompower
Open innovation to put data to work
across the enterprise
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Open innovation to put data to work across the enterprise
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-
Trademarks and notes IBM Corporation 2014 IBM the IBM logo and ibmcom are registered trademarks and other company product or
service names may be trademarks or service marks of International Business Machines Corporation in the United States other countries or both A current list of IBM trademarks is available on the web at ldquoCopyright and trademark informationrdquo at wwwibmcomlegalcopytradeshtml
Other company product and service names may be trademarks or service marks of others References in this publication to IBM products or services do not imply that IBM intends to make
them available in all countries in which IBM operates IBM and IBM Credit LLC do not nor intend to offer or provide accounting tax or legal advice to
clients Clients should consult with their own financial tax and legal advisors Any tax or accounting treatment decisions made by or on behalf of the client are the sole responsibility of the customer
IBM Global Financing offerings are provided through IBM Credit LLC in the United States IBM Canada Ltd in Canada and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients Rates and availability are based on a clientrsquos credit rating financing terms offering type equipment type and options and may vary by country Some offerings are not available in certain countries Other restrictions may apply Rates and offerings are subject to change extension or withdrawal without notice
- IBM Power Systems Designed for DataOpen innovation to put data to work across the enterprise
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Slide Number 7
- Slide Number 8
- Slide Number 9
- Designed for Big Data Drive Infrastructure Optimization
- Deliver new acceleration capabilities for Analytics Big Data Java and other technical computing workloads
- Slide Number 12
- Slide Number 13
- Slide Number 14
- Slide Number 15
- Slide Number 16
- Slide Number 17
- Slide Number 18
- Slide Number 19
- Slide Number 20
- Power Systems are designed for Big Data amp Analytics
- Slide Number 22
- Slide Number 23
- Slide Number 24
- Slide Number 25
- Slide Number 26
- Trademarks and notes
-