c4040-250 certification power systems with power8 sales skills v1

The new generation of systems designed for data-optimized Cloud

IBM Power Systems

© 2014 IBM Corporation2

Power Systems with POWER8 are built with open innovation to put data to work across the enterprise

222

Designed for big data

First server processor generation optimized for big data & analytics with POWER8 innovative design

Open innovationplatform

Delivering the world’s first open server ecosystem revolutionizing the way IT is developed & delivered

Superior cloud economics

Superior cloud price/performance advantages & security to move data-centric applications to the cloud

Power Systems are enhanced with new capabilities so clients are better equipped for Cloud, Analytics & Mobile workloads as well as handling

complex, mission critical applications with confidence.


Our Journey and Commitment to Power Systems

August April AprilSeptember August

May

2013 2014

February AprilSeptember

Watson Engagement Advisor

$1 billion Linux on Power investment

POWER8: 3+ years, $2.5 billion R&D investment with hundreds of patents

Ubuntu supports IBM Power Systems for simpler Linux migration

OpenPOWER Foundation announced

5 Power Systems Linux Centers around the world

Power development cloud

OpenPOWER Foundation open for business

IBM Innovation Centers fuel Linux on Power

Inspur to develop system solutions using OpenPOWER innovations

Enterprise systems

August October



IBM Confidential –


• New solutions for Hadoop, NoSQL and Elastic Storage

• Enhanced Scale-Out Systems with up to 2 TB / system

• New POWER8 Scalable enterprise systems


• First solution from OpenPower – S824L with NVIDIA GPU

• Expanded Linux Support – IFLs and new Distributions


• Simplified Hybrid Cloud Management built on OpenStack

• Enhanced virtualization management for PowerVM and PowerKVM

• Power Enterprise Pools for private clouds and easier migration / integration with POWER8


Clients are rapidly expanding their data and analytics focus to enhance business opportunities

NoSQL Databases Map Reduce Implementations

Analytics capability for multiple data types, often used in mobile and social workloads

Scalability and flexibility for different data store models

A scalable data architecture

A parallel and distributed programming model

Open source community innovation (Apache Hadoop)

2:1 Core Performance, Memory Bandwidth &

Memory Capacity

DB2 BLUOracle in-memory

SAP HANA

4x Lower Storage requirements

High performance, data centric design with

GPFS & Compression

Reduced complexity, space

(>12x) and cost with CAPI attached Flash

Redis, Cloudant, Mongo DB, Cassandra

Relational Databases

Systems built with POWER8 deliver

Instant insight from real-time operational data

Simplified transactions and reporting

Reduced tuning and indexing


Actionable Insights: preloaded Big Insights plus other analytic applications

Grid infrastructure Services (Platform computing)

POWER8 Systems: 2X Performance Optional Compression and Encryption

High Performance, Scalable Networking

IBM Elastic Storage Server1 copy of data versus 3Scalable file system

Big Data & Analytics Software

Infrastructure Services

GZIP Compression

POWER8Servers

Scalable Networking

Scale Out Cluster File System

Elastic Storage Server

Elastic Storage Server

IBM Data Engine for Analytics A Customized Infrastructure Solution with Integrated Software

Rapid Deployment Flexibility Efficiency Rapid Deployment Flexibility Efficiency


Load Balancer

500GB Cache Node

10Gb Uplink

POWER8 Server

Flash Array w/ up to 40TB

Differentiated NoSQL(POWER8 + CAPI Flash)

Infrastructure Attributes- 192 threads in 4U Server drawer- 40 TB of memory based Flash per 4U Drawer- Shared Memory & Cache for dynamic tuning- Elimination of I/O and Network Overhead- Cluster solution in a box

Today’s NoSQL in memory (x86)

Infrastructure Requirements- Large Distributed (Scale out)- Large Memory per node- Networking Bandwidth Needs- Load Balancing

Power CAPI-attached Flash model for NoSQL regains infrastructure control and reigns in the cost to deliver services.

WWW10Gb Uplink

WWW

Backup Nodes

500GB Cache Node500GB Cache

Node500GB Cache Node500GB Cache

Node

IBM Data Engine for NoSQLReduce complexity and cost of NoSQL solutions


4Q ANNOUNCE: CAPI “Developer Kit” for early adopters

8

CAPI card and Support documentation will be made available for early adopters

who wish to innovate custom logic / accelerator logic on an FPGA attached via CAPI

This will be an offering from OpenPOWER member Nallatech

FPGA

AFU

IBM Supplied POWER Service Layer

An invitation to innovateIntroducing the CAPI Developer Kit

Can be plugged into an Existing Capi enabledTuleta system

Open space for Customization and innovation


• Portfolio is complemented by a full commitment to support an open stack of software - Ubuntu, SUSE, RedHat, PowerKVM, and Open Stack

• New Capabilities (4Q2014)- 2 TB memory option in S824- Linux SUSE SLES12 (LE) enabling easier application portability- S824L w/ NVidia GPU acceleration- Mixed Endian VM support of a single PowerKVM host- NEBS option for Telco

S812L S822L S822 S814 S824L S824

• 1-socket, 2U• Linux only

• 2-socket, 2U• Up to 24 cores• 1 TB memory• 9 PCI Gen3 slot• Linux only• PowerVM &

PowerKVM•NEBs option

• 2-socket, 2U• Up to 20 cores• 1 TB memory• 9 PCIe Gen 3• AIX & Linux• PowerVM•NEBs option

• 1-socket, 4U• Up to 8 cores• 512 GB memory• 7 PCIe Gen 3• AIX, IBM i, Linux• PowerVM• 4 core/P05 for

IBM i

• 2-socket, 4U• Up to 24 cores• Linux•NVidia GPU•Annc/GA in

4Q14

• 2-socket, 4U• Up to 24 cores• 11 PCIe Gen 3• AIX, IBM i, Linux• PowerVM• 1 TB memory•2 TB memory

option

Scale-out Systems built with POWER8


IBM and NVIDIA deliver new acceleration capabilities for analytics, big data, and Java

Runs pattern extraction analytic workloads 8x faster

Provides new acceleration capability for analytics, big data, Java, and other technical computing workloads

Delivers faster results and lower energy costs by accelerating processor intensive applications

Power System S824L•Up to 24 POWER8 cores•Up to 1 TB of memory•Up to 2 NVIDIA K40 GPU Accelerators•Ubuntu Linux running bare metal


The OpenPOWER Foundation creates a pipeline of continued innovation and extends POWER8 capabilities

• Opening the architecture and innovating across the full hardware & software stack• Driving an expansion of enterprise-class hardware and software• Building a complete sever ecosystem delivering maximum client flexibility


• Over 800 Linux ISVs; ecosystem communities, 100K+ developers (i.e. Ubuntu, Zend, Opscode, etc)

• Partner with SWG to grow Linux capabilities for targeted workloads

• Build and promote ‘Virtual Appliance’ Reference configurations

• Create new GTM constructs for on-premise and cloud deployment

• Double the number of Academic Initiative universities by 2015 (over 100 new schools in 2014)

• Drive University Challenge in fall semester 2014

• OpenPOWER technology creates greater choice for customers

• Open and collaborative development model

• 60+ members & growing RIVALRY

Work with

Universities

Comm

ercial

Developers

OpenPOW

E

R & O

pen

Source

Initi

ativ

es

Regio

nal

Ecosy

stem

Expan

sion

Growing POWER8 Ecosystem

© 2014 International Business Machines Corporation12

Focus on ecosystem presence


* Initial GA supports 2 nodes, 64 cores, 8 TB with MES to 3 or 4 nodes in 2015

New Enterprise POWER8-based Systems for the Most Demanding Data Environments

13

• Tackle your largest workloads with massive performance and scalability (up to 192 cores and 1,024 threads; 16 TB; 1,000 VMs)

• Operate with more flexibility and efficiency • Maximize availability and serviceability • Instantly respond to the dynamic, changing needs of today’s business

• Deploy new workloads faster and at lower cost with Power IFLs and Usage / Utility based pricing for Elastic COD


Combining the architectural strengths of Power 795with the modularity & efficiencies of Power 770/780

*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

Designed for the most demand data workloads with the agility to handle today’s dynamic business environment

High performance compute nodes •Fastest processor in the industry •Up to 48-cores* and 4 TB per node

Modular structure delivers efficiency and flexibility•Flexible growth up to 4 compute nodes * •Improved space and energy efficiency

System design for High Availability and Serviceabilty •Isolated, fully redundant System Control Unit •Enhanced Serviceability •Enhanced memory and system reliability

Economic efficiency with Capacity on Demand flexibility and IFLs•Elastic Capacity on Demand•Mobile Capacity for Power Enterprise Pools


192 cores*1 – 4 node*, 4-16S* (12c)

Up to 16 TB Memory

80 cores @ 4.19 GHz1 – 2 node, 4 - 8S (10c)

Up to 8TB* Memory

64c @ 4 GHz1 – 2 node, 8S (8c)Up to 8TB* Memory

128* cores @ 4.35 GHz1 – 4 node*, 4-16S (8c)

Up to 16 TB Memory

Power E8809119-MHE

Power E8709119-MME

1 E880 with 3 or 4 nodes, 96 or 128 cores, respectively, will GA in 2Q 2015. *Statement of Direction. All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

POWER8 Enterprise Systems


192 cores*1 – 4 node, 4-16S (12c)*

Up to 16 TB Memory

80 cores @ 4.19 GHz1 – 2 node, 4 - 8S (10c)

Up to 8TB* Memory

64c @ 4 GHz1 – 2 node, 4-8S (8c)Up to 8TB* Memory

128* cores @ 4.35 GHz1 – 4 node*, 4-16S (8c)

Up to 16 TB Memory

Power E8809119-MHE

Power E8709119-MME

GA = 4Q14

64-cores8 TB


Accelerating Availability of POWER8 Enterprise Systems


SOD : 192 cores*1 – 4 node, 4-16S (12c)*

Up to 16 TB Memory

80 cores @ 4.19 GHz1 – 2 node, 4 - 8S (10c)

Up to 8TB* Memory

64c @ 4.02 GHz1 – 2 node, 4-8S (8c)Up to 8TB* Memory

128 cores** @ 4.35 GHz1 – 4 node**, 4-16S (8c)Up to 16 TB** Memory

Power E8809119-MHE

Power E8709119-MME

1H15

64-cores8 TB

Expand to 128 cores


POWER8 Enterprise Systems


• 8 to 128 cores @ 4.35 GHz • Up to 192 cores* in 2015 • 256 to 16TB Memory • 1 to 4 nodes (5U) per system • Built-in initial Elastic CoD days

*Statement of Direction to support up to 8TB memory on E870 and up to 4 PCIe I/O Expansion Drawers per node on Power E870 & E880 in 2015. Initial GA in 4Q14 supports 4TB maximum on E870 and 0 or 2 PCIe I/O drawers per node on E870 & E880.

Increased performance and scaleBuilt-in PowerVM Enterprise EditionEnterprise RASSystem Control Unit (2U) Built-in Active Memory Mirroring for Hypervisor More performance per-watt8 PCIe adapter slots per nodeUp to 4 PCIe I/O drawers per Node*Share resources in Power Enterprise PoolMedium Software tier24x7 Warranty

Power E880Power E870

• 8 to 80 cores @ 4.19 GHz • 8 to 64 cores @ 4.0 GHz• 256 to 4TB Memory (8TB SOD*)• 1 or 2 nodes (5U) per system

Power E870 & E880 servers


(best Intel Xeon and best Oracle SPARC)

Fujitsu PQ 2800EIntel E7-8890 v2, 120c/240t

Fujitsu PQ 2800EIntel E7-8890 v2, 120c/240t

Oracle T5-8 T5128c/1024t

Oracle T5-8 T5128c/1024t

IBM x3950 X6Intel E7-8890 v2120c/240t

IBM x3950 X6Intel E7-8890 v2120c/240t

IBM Power E870POWER880c/640t

IBM Power E870POWER880c/640t

128c120c 120c

(1) IBM Power System E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, line items/hour:8,722,000, dialog steps/hour: 26,166,000 SAPS: 436,100 database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Certification #: 2014034 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark.

(2) IBM System x3950 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 120 cores / 240 threads, Intel Xeon Processor E7-8890 v2; 2.80GHz, 1024GB memory, 49,000 SD benchmark users, running Windows Server 2012 Standard Edition and DB2® 10, dialog response: 0.85 seconds, line items/hour: 5,421,670, dialog steps/hour: 16,265,000 SAPS: 271,080; database response time (dialog/update): 0.0083 sec / 0.022 sec, CPU utilization: 98%, Certification #: 2014024 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark.

(3) Fujitsu PRIMEQUEST 2800E on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 120 cores / 240 threads, Intel Xeon Processor E7-8890 v2; 2.80GHz, 1024GB memory, 49,000 SD benchmark users, running Windows Server 2012 Standard Edition and SQL Server 12, dialog response: 0.97 seconds, line items/hour: 5,193,670, dialog steps/hour: 15,581,000 SAPS: 259,680; database response time (dialog/update): 0.015 sec / 0.030 sec, CPU utilization: 99%, Certification #: 2014003 Results valid as of 10/3/14. Source: http://www.sap.com/benchmark.

(4) (5) Oracle SPARC Server T5-8 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors/128 cores/1024 threads, SPARC T5; 3.60 GHz, 2,048 GB memory; 40,000 SD benchmark users, running Solaris® 11 and Oracle 11g; Certification # 2012013008. Results valid as of 10/3/14. Source: http://www.sap.com/benchmark.SAP and all SAP logos are trademarks or registered trademarks of SAP AG in Germany and in several other countries. All other product and service names mentioned are the trademarks of their respective companies.

1.6X1.6X more users than Ivybridge-EX v2 more users than Ivybridge-EX v2

~ ~ 2X2X more users than Oracle T5-8 more users than Oracle T5-8

with with 1/3 less 1/3 less cores!cores!

SAP SD Standard Application Benchmark Results, 2-Tier: SD Benchmark Users SAP enhancement package 5 for SAP ERP 6.0 Source: http//www.sap.com/solutions/benchmark/sd2tier.epx

SAP SD Standard Application Benchmark Results, 2-Tier: SD Benchmark Users SAP enhancement package 5 for SAP ERP 6.0 Source: http//www.sap.com/solutions/benchmark/sd2tier.epx

More Scalability than an other 8-socket systems

http://www.sap.com/benchmark

http://www.sap.com/benchmark


Superior cloud economics: simplified virtualization & cloud management

20


Cloud Manager with OpenStack Extended capability to enable customization & quicker deployment of OpenStack-based

cloud solutions Management across heterogeneous systems, on premises and off premises

Superior Cloud economics: Simplified virtualization and hybrid cloud management


Run any combination of Linux distros via Mixed Endian VM support on a single PowerKVM host

Improve performance using PCI passthru for dedicated I/O

Better availability through PCIe hot plug support

21

Simplified virtual IO administration

Risk reduction by using templates for repeatable deployment of workloads

VM restart accelerates workload recovery

Expanding device and OS support

Import existing KVM VMs Simplified maintenance

with one click system evacuation

Increase scaling by 100% to 20 hosts; 2000 VMs


POWER7+

Power 780

Power E880

Power E880

Clients are asking for: •Extreme flexibility, instant response

•Higher Availability

•Economic Efficiency

•Investment Protection

IBM Delivers the most powerful foundation for private and public cloud infrastructure


• Mobile COD: move processor and memory resources amongst systems

• Elastic COD: for periodic spikes in workload demand

• OpenStack: for simplified Cloud and Virtualization Management


Extreme flexibility to instantly respond to changing business demands •Simpler application workload balancing•Easily manage periodic workload spikes and bursting

High Availability•Reduced planned downtime due to system maintenance•Enhanced disaster recovery capabilities

Economic Efficiency •Operate at 80-90% utilization with flexible capacity •Minimize excess capacity required to manage availability or contingency for workload uncertainties •Usage and utility based pricing

Investment Protection and simplified technology transition to POWER8 •Upgrade / Share / Move POWER7+ resources & software to POWER8•Transition applications to POWER8 with increasedbusiness flexibility

POWER7+

Power Enterprise Pools: The most powerful foundation for a flexible, economically advantaged private and hybrid cloud IT infrastructure


Today, Power Enterprise Pools providesSimpler application workload balancing

Reduced planned downtime due to system maintenance

Enhanced disaster recovery capabilities

Flexible, efficient private cloud infrastructure

POWER7+

Provides options for more granularity & flexibility when transitioning applications to POWER8

Tremendous asset/investment protection Future enhancements planned* to improve automation for

high availability and disaster recovery environments

and tomorrow with POWER8…

with POWER8


Deploy a Power Enterprise Pool today and your infrastructure is ready for the future



IBM Confidential –


• New solutions for Hadoop and NoSQL databases and Elastic Storage to simplify operations and reduce cost

• New and enhanced Power Scale-Out Systems and solutions with up to 2 TB / system

• Scalable enterprise systems for the most demanding data environments with leadership performance and scale, up to 16 TB / system and over 80% utilization


• First solution from the OpenPower Foundation – S824L with NVIDIA GPU for technical computing and high performance analytics

• Simplify operations and reduce costs by running new Linux workloads on POWER8-based IFLs

• New Linux distributions & turbo charge LAMP solution stacks


• Simplified Hybrid Cloud Management with Cloud Manager for OpenStack for a single point of control

• Enhanced virtualization management with expanded storage/networking and OS support and increased scalability

• Power Enterprise Pools enable enhanced business flexibility and availability with the ability to migrate POWER7 Mobile COD to POWER8 systems


Infrastructure Matters: Open Innovation with open innovation to put data to work across the enterprise

26 26

Enterprise Systems & Pools Scale Out SystemsLeadership performance and resiliency leveraging new, Open Innovation

POWER7+

Power 780

Power E880

Power E880

Infrastructure Solutions & Expanding Ecosystem

Infrastructure System Software

Designed for the most demanding data environments with agility and efficiency

IBM Data Engine for AnalyticsIBM Data Engine for NoSQLIBM S824L with NvidiaIBM BLU Acceleration for Power Systems

Expanding choice, simplifying management, lowering costsCustomized infrastructure solutions

delivering new, unprecedented value

36 21 21

Open innovation to put data to work

21

Because the speed of business is moneyBIG DATA & ANALYTICS

Héctor Colmenares, IBM SWCore Database Competitive Sales Leader, IM [email protected]

mailto:[email protected]


Tendencias del mercadoDemanda de respuestas en real time es una necesidad.

• Vivimos en la generación del “NOW”. • Los datos crecen constantemente, y los usuarios esperan respuestas más

rápidas.• Movilidad y el uso “democrático” de la información y la analítica hacen

de la tecnologia in-memory y mensajería distribuida un requerimiento obligado. La velocidad cambia el negocio.

• Nuevas y modernas arquitecturas de datawarehouse dinámicas reemplazarán los modelos tradicionales de datos por la demanda de datos en real-time.


2+ billion

people on the

Web by end 2011

30 billion RFID tags today

(1.3B in 2005)

4.6 billion camera phones

world wide

100s of millions of GPS

enabled devices

sold annually

76 million smart meters in 2009… 200M by 2014

12+ TBs of tweet data

every day

25+ TBs oflog data

every day

? T

Bs

of

dat

a ev

ery

da

y

De los datos mundialesNO ESTRUCTURADOS

80%

IT Logs

Big Data y analítica del negocioLa Revolución de los datos


Transaccional & Datos Aplicativos

Data Sensores

Dato Social

Contenido Empresarial

• Volumen

• Estructurado

• Entrada / Salida

• Variedad

• No estructurado

• Volumen

• Variedad

• No estructurado

• Veracidad

• Velocidad

• Estructurado

• Ingestión

Big Data: todo son datosParadigma para extraer valor


Real Time Fraud Detection

SalesAnalysisE-commerce

Demand Analysis

Transaction Processing

Reporting and Analytics

Operational Analytics

Sensor Data Analysis

Analytics Data Warehouse

Transactional Database Operational Data Warehouse

Mobile Data Serving

JSON Database

JSON Database

MobileStorefront

Time Series Database

Data series 2Meter 2

Data series 1Meter 1

JSON doc 2Key 2

JSON doc 1Key 1

Key 2

Big Data: todo son datosGestión de los datos: No es única


Analítica dá la clave para incrementar la competitividad

Compañías que realizan analíticas sofisticadas superan a su competencia

2.6xmas rendimiento

que sus iguales del sector

1.6xMas ingresos

Source: The New Intelligent Enterprise, a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011. Outperforming in a data-rich, hyper-connected world, IBM Center for Applied Insights study conducted in cooperation with the Economist Intelligence Unit and the IBM Institute of Business Value. 2012

260%estar entre los mejores del

sector

2.5xValorización del precio del stock


Average closing of accountsSource: SAP value engineering study Speed of Business Process, Is Money

Speed equals 39% faster payment*

*Based on analysis done by Xero, a SaaS company specialising in accounting software, 2014. Link to blog & infographic: HERE

business growth

increased cash flow

reduced days to payment

2011 2012 2013

days

to

paym

ent

59

36

Cuantificar valor de la analítica

https://www.xero.com/blog/2014/05/data-shows-cash-flow-benefits-online-accounting/


Information Integration & Governance

Logical Data WarehouseLogical Data Warehouse

Exploration, landing and

archiveTrusted data

Reporting & interactive analysis

Deep analytics & modeling

Data types Real-time processing & analytics

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Operational systems

Actionable insight

Decision management

Predictive analytics

and modeling

Reporting, analysis, content

analytics

Discovery and exploration

La lógica del Data WarehouseContemplar componentes, propósitos, zonas

Advanced Application Capabilities

Vertical Industry AcceleratorsVertical Industry Accelerators


Information Integration & Governance

Logical Data WarehouseLogical Data Warehouse

Exploration, landing and

archive

Trusted data

Reporting & interactive analysis

Deep analytics & modeling

Real-time processing & analytics

Operational systems

Advanced Application Capabilities

Vertical Industry AcceleratorsVertical Industry Accelerators

Data types

Transaction andapplication data

Machine andsensor data

Enterprise content

Social data

Image and video

Third-party data

Actionable insight

Decision management

Predictive analytics

and modeling

Reporting, analysis, content

analytics

Discovery and exploration

BigMatch

Streams

ORACLEMicrosoft Teradata

La lógica del Data WarehouseEjemplo de la Solución de IBM


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

Analyze Compressed DataPatented compression technique that preserves order so data can be used without decompressing

CPU AccelerationMulti-core and SIMD parallelism(Single Instruction Multiple Data)

Data SkippingSkips unnecessary processing of irrelevant data

Encoded

¿Qué hace diferente BLU Acceleration?Innovacionees de IBM Research & Developments Labs.


+Traditional row-based tables, with indexes for, for tables dedicated to OLTP or Operational Analytics

+Traditional row-based tables, with indexes and BLU Shadow Tables for tables with mixed workloads+

Simple BLU tables ( columnar ) for tables dedicated to analytics and reporting workloads

Single ServerAll 3 scenarios in a single database

• Power of BLU• Faster analytics and reporting• Faster OLTP• Simpler environment

Dedicated analytics and reporting Operational analytics Mixed workload analytics with OLTP

OLTP Indexes Analytical Indexes

OLTP Indexes

BLU Shadow Tables


2+ billion

people on the

Web by end 2011

30 billion RFID tags today

(1.3B in 2005)

4.6 billion camera phones

world wide

100s of millions of GPS

enabled devices

sold annually

76 million smart meters in 2009… 200M by 2014

12+ TBs of tweet data

every day

25+ TBs oflog data

every day

? T

Bs

of

dat

a ev

ery

da

y

Of world’s datais unstructured

80%

PROBLEMAS DE RENDIMIENTOSAP BWCARGAS ANALÍTICAS

COMPETENCIA:SAP con HANAORACLE con EXADATA TERADATAMS-SQL

PREMISA: AHORRO DE COSTES

IT Logs

Oportunidad: Big Data y Analytics

© 2014 IBM Corporation407X-8X Better Performance with equal cores

DB2 with BLU vs Microsoft SQLServerQuery Response Time: (In Seconds, Less is Better)


DB2 with BLU vs Microsoft SQLServerQuery Response Time: (In Seconds, Less is Better)

“56% better performance, with 25% of the cores ! Wow, that’s great !”

BestOffer Less Cores & Licenses but Much more Performance => Better SLA


Estimated HW Infrastructure for Production – Year 1 and Year 5assumption yearly 20% growth

42

Source Oracle database 8 TB on BW 7.0 (non-unicode)DB2 on 2-tier architecture (on one server all components)HANA on 3-tier rachitecture (database and application on different servers)

Huge savings through DB2 TechnologyOften DB2 BLU needs 70-95% less HW


43

4 x POWER servers (160 cores)

Customer runs DB2 on POWER- 180 systems, 48 production- 26 HA (LPM*) + 26 DR (PowerHA)- 2 x data centers

Possible Exadata implementation **- 180 systems, 48 production- 26 HA + 26 DR clusters- 2 x BIGGER or more data centers

6 full racks for production + HA

6 full racks for DR

6 full racks for test/QA

6 full racks for dev

6 full racks for the rest 36 systems

* LPM - AIX live partition mobility** No virtualization + limited number of databases per rack (e.g. 8 database servers per full rack, max 24 processor per database)

~30 full racks (5760 cores)

NECESIDAD INICIAL: Sistema SAP (180 sistemas, 48 entornos de producción)CONTINUIDAD DEL NEGOCIO: Contingencia en 2 centros separados

NOTA: •El ejercicio de sizing se ha basado en la metodología SAP con entornos para Producción, Pre-Producción y Desarrollo/Q•El nivel de rendimiento SAPS ha sido el mismo en ambos casos•La infraestructura IBM es POWER8 + AIX + DB2 10.5 y la de Oracle es EXADATA (INTEL`+ Oracle Linux + Oracle DB)•La opción de IBM permite virtualización•El ejercicio es una estimación y está orientada a mostrar las diferencias de infraestructura entre ambas soluciones

COMPARATIVA ENTRE IBM POWER + DB2 contra ORACLE EXADATA


44

4 x POWER servers (160 cores)

Customer runs DB2 on POWER- Customer runs DB2 on POWER- 180 systems, 48 production- 26 HA (LPM*) + 26 DR (PowerHA)2 x data centers

* LPM - AIX live partition mobility** No virtualization + limited number of databases per rack (e.g. 8 database servers per full rack, max 24 processor per database)

101-232 x HANA servers (4040-9400 cores)

NECESIDAD INICIAL: Sistema SAP (180 sistemas, 48 entornos de producción)CONTINUIDAD DEL NEGOCIO: Contingencia en 2 centros separados

NOTA: •El ejercicio de sizing se ha basado en la metodología SAP con entornos para Producción, Pre-Producción y Desarrollo/Q•El nivel de rendimiento SAPS ha sido el mismo en ambos casos•La infraestructura IBM es POWER8 + AIX + DB2 10.5 y la de SAP HANA (INTEL+ Linux + HANA)•La opción de IBM permite virtualización•El ejercicio es una estimación y está orientada a mostrar las diferencias de infraestructura entre ambas soluciones•1 HANA UNIT = 64 Gb RAM = 13 K€

COMPARATIVA ENTRE IBM POWER + DB2 contra SAP HANA

Possible HANA implementation **- 180 systems, 48 production- 26 HA + 26 DR clusters- 2 x BIGGER or more data centers

48 appliance servers for production

52 appliance servers for HA+DR clusters

up to 48 appliance servers for test/QA

up to 48 appliance servers for dev

up to 36 appliance servers for rest


Balluff GmbH – Game-changing boost to information delivery with IBM DB2 enables rapid insight

98 percentfaster access to complex reports

30 percenttypical report speed increase

50 percent faster SAP ERP response times

Solution Components•SAP® Business Warehouse, SAP ERP, SAP ERP HCM, SAP CRM, SAP NetWeaver® Enterprise Portal, SAP PI

•IBM® AIX®, DB2® for Linux, UNIX and Windows with BLU Acceleration, PowerHA® SystemMirror®, PowerVM®, System Storage SAN Volume Controller, Tivoli® Storage FlashCopy® Manager, IBM® Power® 750, FlashSystem™ 840, XIV®, IBM System and Technology Group Lab Services, IBM Software Group Services

Business challenge: Balluff knew that slow access to finance and business reports threatened productivity and potential growth. How could executives gain fast insight into critical data to make better business decisions?

The solution: The company moved its SAP Business Warehouse to IBM® DB2® with BLU Acceleration, running on IBM Power Systems™ with IBM AIX® and IBM PowerHA®.

“IBM DB2 with BLU Acceleration is the ideal solution for us because we can gain new insights into business data more rapidly. Deploying IBM DB2 with BLU Acceleration was a low-risk project; implementation was quick and easy without affecting availability.”—Bernhard Herzog, Team Manager Information Technology SAP, Balluff

IBM SAP Alliance © 2014 IBM Corporation

Deep Blue IBM Solution SAP Stack


Big Data & Analytics

Big Data & AnalyticsBig Data & AnalyticsThe Business Value, Why Speed is Money

Business Analytics AcceleratorBusiness Analytics AcceleratorIncrease productivity & drive business growth

Adding Value, not complexity

Infrastructure Infrastructure That That

Matters Matters

DynamicQuery

CompatibleQuery

DynamicCubes

DynamicCubes

C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8C1 C2 C3 C4 C5 C6 C7 C8

DB2 with BLU DB2 with BLU

vs. Competitor Row Store Database on Ivy Bridge (x86)1

82X más rápido82X más rápido

1) Based on IBM internal tests as of April 7, 2014 comparing IBM DB2 with BLU Acceleration on Power with a comparably tuned competitor row store database server on x86 executing a materially identical 2.6TB 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 10.2.1.1, SuSE Linux 11SP3 (Cognos). IBM configuration: IBM S824, 24 cores, 256GB RAM, DB2 10.5, AIX 7.1 TL2 (Database) and IBM S824, 16 of 20 cores activated, 384GB RAM, Cognos 10.2.1.1, 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 calculation based on geometric mean calculation giving equal weighting to the report per hour (RPH) improvements in the three categories of simple, intermediate, and complex reports. GEOMEAN(RPH_simple,RPH_intermediate,RPH_complex) = GEOMEAN(18.85,40.07,747.63)=82.66

POWER + BLU Accelerationpero y …. How do we move forward?


Elegir una opciónde las dos configuraciones

Existing Data Warehouse

• Supports up to 5 TB uncompressed active data (1 TB compressed data)

Hardware Configuration

• Power S814: 8 cores, 3.72 GHz

• Memory: 256 GB DRAM

• Storage: • 146 GB (RAID 1) (OS/PGM VG)

• 2.4 TB HDD (RAID 5) (Data VG)

• AIX Standard Edition

• PowerVM Enterprise Edition

Software Configuration

• DB2 Advanced Workgroup Edition

Existing Data Warehouse

• Supports up to 10 TB uncompressed active data (3 TB compressed data)

Hardware Configuration

• Power S824: 24 cores, 3.52 GHz

• Memory: 1 TB DRAM

• Storage: • 2.4 TB HDD (RAID 5) (Data VG)

• 1.55 TB SSD (DB2 overflow cache)

• 146 GB (RAID 1) (OS/PGM VG)

• AIX Standard Edition

• PowerVM Enterprise Edition

Software Configuration

• DB2 Advanced Workgroup Edition

Small Configuration Large Configuration

PRECIO MUY INTERESANTE ** PREGUNTE A SU VENDEDOR DE IBM **


Configurations Try &Buy, include HW & SW

New BLU POC Program Stack: Power 8, DB2 10.5 with BLU Acceleration and

Cognos BI 10.2 with Dynamic Cubes Target Use Cases: “Business Intelligence Workload

Accelerator” Provides acceleration for BI workloads in competitive or

back-level environments

Can work in any environment Commodity hardware accounts Microstrategy, Business Objects SQLServer, Oracle Is an accelerator to your existing environment

Configurations 5 pre-defined Power 8, DB2 BLU and Cognos BI

configurations to support various workload sizes

Announcement Highlights– Announced: June, 2014– Leverages established Power POC

processes– Define the free trial period– Try with your own data

Owners for Additional Information

GRACIAS

c4040-250 certification power systems with power8 sales skills v1

Social Media

cloud power systems

ibm corporation2 power

ibm corporation4 power

power systems linux

big data analytics

power investment power8

new generation of systems

datacentric applications