a foundation for success in the information economy
DESCRIPTION
The Briefing Room with Dr. Robin Bloor and Hewlett-Packard Live Webcast on Oct. 30, 2012 Success in today's information economy rises and falls on the efficiency of data management. Companies that treat their information assets as mission-critical components of the business will find ways to better their competitors. The key is to ensure that the foundation of your information architecture can satisfy the wide range of user demands. Moreover, the ability to scale quickly and efficiently has become paramount. Check out this episode of The Briefing Room to hear veteran Analyst Robin Bloor who will explain the benefits of embracing a modern Information Oriented Architecture (IOA). He'll also tout the purpose of using a flexible SQL engine in this era of NoSQL technologies. He will be briefed by Ajaya Gummadi of Hewlett-Packard, who will show how her company’s NonStop SQL has evolved to become a valuable solution for mission-critical data, mixed workloads and high volume databases. She will also explain how their integrated hardware and software stack can help reduce the cost of operations and management in a large-scale database environment.TRANSCRIPT
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! Most organizations and companies rely heavily on databases and database management systems for their operations and processes.
! The landslide of complex data has not diminished the expectation for reliable performance of and immediate access to database systems.
! Further, the global drive for 24/7 mission-critical computing
has created challenges in the areas of fault tolerance and scalability, meaning database technology must not only be available on demand, but it must scale on demand, and do so without fail.
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Robin Bloor is Chief Analyst at The Bloor Group
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! Established in 1939, HP specializes in developing and manufacturing computing, data storage and networking hardware; designing software; and delivering services.
! Though it holds the highest market share of global PC sales (17.2% last year), it has also been building a formidable collection of commercial information management solutions.
! A key offering is its HP Integrity NonStop, a platform aimed at mission-critical customers that includes an integrated stack of hardware, OS, database, software and applications.
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Ajaya Gummadi is the Database Product Manager with the HP NonStop Enterprise Division. In this role, she is responsible for setting the database product strategy for the NonStop Business Unit. She engages customers to understand their business and technology requirements, and working with Partners has developed a database ecosystem for the NonStop platform. She works closely with R&D on prioritizing and delivering database innovations that enable customers to create scalable and always available NonStop SQL applications. Working closely with worldwide Sales teams, she evangelizes new product messaging and drives product marketing execution priorities. Ajaya is a Computer Science graduate from BITS Pilani, India and received an EMBA from Pepperdine University’s Graziadio School of Business Management.
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
A Foundation for Success in the Information Economy NonStop SQL: Mission-critical database
Ajaya Gummadi HP NonStop Database Product Management [email protected] The Briefing Room, October 30, 2012
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In today’s need-it-now world…
when is it okay for your business to be unavailable to your customers? Never.
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When application availability is vital
Your mission-critical experience matters
SECONDS Downtime specified in
System issues
PREDICTED
MINIMAL Software updates
CORRECTED
ZERO Unplanned downtime
Data integrity
NEVER COMPROMISED
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Average business revenue lost per hour of downtime (US$)
Business failure brings a high cost
Retail $1,999,872
Healthcare $4,223,520
Manufacturing $10,432,800
Communications $15,120,000
Average $9,700,000
Source: © 2009 HP internal testing and development over two-year period and other competitive materials, including IDC “Cost of Downtime Tool” developed for HP
Financial $16,833,600
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• Diverse data • Large volumes • Extreme Velocity • Instant Access • Operational and Predictive Analytics
Market Forces Affect Database Industry
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Performance • Need better response times • Continuous data availability requirements
Scalability • More data, More Users
Capability • Real-time, recommendations, mining
Cost and complexity • Out-of-the-box execution efficiencies,
consolidate workloads, reduce costs, improve SLAs
Market Forces Affect Database Choices
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• Continuously available data architecture
• Economical and highly scalable architecture
• Ability to handle high volumes of data
• Ability to handle variety of data • Ability to handle velocity of data
Market Requirements Affect Database Architecture
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Key NonStop SQL Attributes Integrated hardware and software stack
Out-of-the-box cluster aware
Mixed Workload – Out-of-the-box
Virtualization – data and workload execution
Support for ANSI and Connectivity standards
Support for Oracle syntax
Online manageability
Leverages and fully aligned with NonStop
server’s takeover and MPP architecture
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Architected for availability, scalability, and performance
• Shared-nothing MPP
• Data virtualization
• Parallel query execution
• Out-of-the-box Mixed workload &
transactional processing
• Cluster aware
• Unrivaled availability
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Scalable to 4,096 processors
Data virtualization …
Transparent software virtualization …
ODBC/JDBC connections
Query processing
Data Access Manager (DAM)
Administration and management
Scalable infrastructure virtualization Processor n
MXCS MXCS .....
ESP ESP .....
DAM DAM .....
NonStop System
Pro
cess
or
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Transparent software virtualization Query Processing – parallelizing the work
Query divided into operators Nested, merge, hash joins; unions; partial & full aggregations; sorts; input/output operations (scan, update, delete, insert)
Operator parallelism
Partitioned parallelism
Pipeline parallelism
Connect
Join
Scan Group by
Scan
40
Data-flow, scheduler-driven Parallelism throughout
Varying degrees of parallelism
Scan
Scan
Join
Group by
– Operator executed by an DAM, ESP, or Connect process
– ESPs started for desired degree of parallelism
30 20
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Unrivaled availability Elimination of unplanned downtime
Reliable and failure resilient hardware
35+ years of proven HP NonStop system
engineering
Continuously available, in spite of any
single point hardware or software failure
Survives many multi-component failures
Automatically rebalances after component
repair and reintegration
Patented fault-tolerant software “process-
pair” technology
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…
PS PS CS CS
X Fabric Y Fabric
P01 P14
M01 M14
Node 15 Node 16
…
Node 1 Node 2
Query or Application
Redirected SQL operation
DAM P10
Cac
he
DAM
B10
Cac
he
Unrivaled availability Fault-tolerant process pairing Patented HP “process pairing” technology
Automatic checkpoint of volatile SQL operations
Inherently resilient to transient software failures
Takeover as opposed to failover
Failure does not interrupt the database availability
No need to restart the database
No database recovery operations
Checkpoint
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Customers realize scalability and availability benefits of NonStop SQL
• A NonStop customer manages several PBs of database with 2 DBAs, pushing 100,000+ tps and has not had any downtime since 1995
• A securities company migrates to NonStop SQL for its superior availability; cost of downtime was $3M/hour
• Another NonStop customer manages hundreds of Terabytes of data and has had no outage since going live several years ago
NonStop SQL handles critical business needs
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Customers realize mixed workload benefits of NonStop SQL
• Customer manages 150++TB of NonStop SQL database
• Drives mixed-workload consisting of 39,000 ingests/second concurrently with >5000 ad-hoc and OLAP queries, and database maintenance activities concurrently
• Mixed workload capabilities are available out-of-the-box
• No need of application partitioning and multi-tier complex architectures to workaround lack of these capabilities
NonStop SQL handles critical business needs
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Customers realize availability benefits of NS SQL
NonStop SQL handles critical business needs
• Customer moves to NonStop SQL for its superior availability and TCO
• Objective was to manage the transactions with no unplanned downtime
• Performing at 2000 tps, driving 20,000 sql statements from 10,000 concurrent users over 2000 JDBC connections
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Customers realize modern and standardization benefits of NS SQL
NonStop SQL handles critical business needs
• A customer selects NonStop SQL/MX to consolidate distributed
databases into an ODS
• Application hosted in cloud and accesses NS SQL/MX
• Customer selected NonStop SQL/MX for its modern and standard
software interfaces
• Customer relies on NonStop scalability, availability and TCO
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– NonStop SQL delivers out-of-the-box cluster awareness and
management, lowering operational costs
– No add-on cluster software download and configuration
– Adding resources to a cluster is done online in simple steps, complexity taken away
– It takes only 19 steps from receving media to having a NonStop SQL database instance up and runniing
– NonStop SQL deploys as a single clustered database image across the entire cluster
NonStop SQL handles critical business needs Customers enjoy clustering and lack of complexity benefits
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– NonStop SQL customers can start small and scale-out flexibly
• Customers can start small with a 2-core or 4-core NonStop database
server
• And scale to thousands of cores
• Customers scale user data from 146 GB to Petabytes
• There are no prescriptive constraints on how to scale the server in
response to growth in business
Customers enjoy flexible configurations
NonStop SQL handles critical business needs
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Low Cost of Acquisition means more for saving money with NonStop SQL
• All DBA productivity tools are included with the base SQL license with
no additional costs
• No additional Partitioning Software licenses required
• Diagnostic, Tuning, Management packs are all included in the base
license
• NonStop SQL deploys and is managed as a single clustered database
image
• NonStop has fewer moving parts and less complexity, leading to lower
operational costs
Optimize your database environment
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NonStop SQL has an edge in today’s information economy Strong value prop Stronger Proof Points
NonStop SQL is positioned for a takeoff Strong roadmap Investing for the future
29
Key takeaways
© Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Thank you
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The Bloor Group
The Bloor Group
The Bloor Group
The Bloor Group
The “Big Data” Trend
q Corporate data volumes grow at about 55% per annum
q VLDB volumes grow at about 55% per annum
q This is exponential q Data has been growing
at this rate for at least 20 years
q As such there is nothing new about big data other than the current data volumes - which follow a well established trend
The Bloor Group
Horses For Courses
• RDBMS • Object DBMS • Column stores • Big Table stores • NoSQL DBMS • Mixed Workload
DBMS
• Traditional OLTP or DW • Objects and OLTP • Scale Out Analytics • Log file and sensor data • Documents and Objects • Large scale OLTP and
DW + analytics
The Bloor Group
The Data Flow Issue
The Bloor Group
The Advantages
q Fewer databases can mean fewer points of failure
q It can mean lower DBA overhead
q It can mean simpler recovery
q It is very likely to mean lower latency for BI
applications
q It can mean lower software costs
q These advantages can multiply in a mixed workload
environment
The Bloor Group
Questions
1. Aside from the NonStop architecture what do you believe are the “technical uniques” of NonStop SQL?
2. What mixed workloads are possible with NonStop SQL?
3. What areas of application do you regard as its sweet spots?
4. What is the largest NonStop SQL database (by data volume) currently in use? What is the largest that has a mixed workload?
The Bloor Group
Questions
5. Where does NonStop SQL sit in relation to HP’s Vertica database?
6. How difficult is it to use (in other words, what are the labor/DBA overheads compared to a traditional RDBMS)?
7. What is HP’s strategy in respect to NonStop SQL and Hadoop?
8. Which database products do you tend to find yourself in competition with?
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November: Cloud
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