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Turn Information into Insights
The IBM Netezza datawarehouse appliance
                   - simplicity with maximum performance.
dai clegg
The IBM Netezza Appliance: Revolutionizing Analytics


                            Purpose-built analytics engine
                            Integrated database, server & storage
                            Standard interfaces
                            Low total cost of ownership



                            Speed: 10-100x faster than traditional systems
                            Simplicity: Minimal administration
                            Scalability: Peta-scale user data capacity
                            Smart: High-performance advanced analytics
The Netezza Appliance – Loading




                                                 OLE-DB
                    Data Integration
        IBM Information Server
        Ab Initio




                                                 JDBC
        Business Objects/SAP
        Composite Software
        Expressor Software             Data In
        GoldenGate Software (Oracle)




                                                 ODBC
        Informatica
        Sunopsis (Oracle)
        WisdomForce




                                                 SQL
The Netezza Appliance – Querying




                                                            OLE-DB
                                           Reporting & Analysis
                                     Cognos (IBM)
                                     SPSS (IBM)
                                     Unica (IBM)




                                                            JDBC
                                     Actuate
                                     Business Objects/SAP
                                     Information Builders
                          Data Out   Kalido
                                     KXEN




                                                            ODBC
                                     MicroStrategy
                                     Oracle OBIEE
                                     QlikTech
                                     Quest Software




                                                            SQL
                                     SAS
Digital Media



    Financial Services



         Government



Health & Life Sciences



    Retail / Consumer
              Products



              Telecom


                         Page 5
                Other
Speed




 15,000 users running 800,000+ queries
 per day 50X faster than before


“…when something took 24 hours I could only do so much with it,
but when something takes 10 seconds, I may be able to
completely rethink the business process…”
                                                           - SVP Application Development, Nielsen




   Source: http://www.youtube.com/watch?v=yOwnX14nLrE&feature=player_embedded
Simplicity




Up and running 6 months before
having any training
200X faster than Oracle system
ROI in less than 3 months                                                          MONTHS




                                                                           WEEKS

“Allowing the business users access to the Netezza box              DAYS
was what sold it.”
                                                      Steve Taff,
                                   Executive Dir. of IT Services
Scalability




 1 PB on Netezza
 7 years of historical data
 100-200% annual data growth

“NYSE … has replaced an Oracle 10 relational database with a data
warehousing appliance from Netezza, allowing it to conduct rapid searches
of 650 terabytes of data.”

                                                                                                       ComputerWeekly.com



   Source: http://www.computerweekly.com/Articles/2008/04/14/230265/NYSE-improves-data-management-with-datawarehousing.htm
Smart




Predicts what shoppers are likely to buy in
future visits
Coupon redemption rates as high as 25%



“Because of (Netezza’s) in-database technology, we believe we'll
be able to do 600 predictive models per year (10X as many as
before) with the same staff."
                                                         Eric Williams,
                                                  CIO and executive VP
IBM Netezza True Appliance Massively Parallel Processing™


               SOLARIS          AIX



    Client     TRU64        HP-UX
                                                                                                 S-Blade
                                                                                           1
             WINDOWS        LINUX                                                                    Processor &
                                                                    Snippets                      streaming DB logic

                                                          SQL
                                           SQL          Compiler                                 S-Blade
                                                                                           2
                                                                                                     Processor &
                                                                                                  streaming DB logic


                                                         Query      Execution
                                                                                                 S-Blade
                                                         Plan        Engine                3
                                                                                                     Processor &
                                                                                                  streaming DB logic



                                                        Optimize                               High-Performance
                                                                                                 Database Engine
                                                                                                Streaming joins,
                   ETL Server
                                                         Admin
                                                         SQL                                   aggregations, sorts
                                        High-Speed
                                      Loader/Unloader                                            S-Blade
                    DBA CLI                                                               960
     Source                                             Front End    DBOS                            Processor &
                                                                                                  streaming DB logic
     Systems        3rd Party
                      Apps
                                                                                Network         Massively Parallel
                                                              SMP Host           Fabric         Intelligent Storage
                       High
                   Performance
                     Loader
Our Secret Sauce
select DISTRICT,
         PRODUCTGRP,
         sum(NRX)
from     MTHLY_RX_TERR_DATA
where    MONTH = '20091201'
and      MARKET = 509123
                                              FPGA Core                            CPU Core
and      SPECIALTY = 'GASTRO'




                                                             Restrict,            Complex ∑
                                Uncompress       Project
                                                             Visibility        Joins, Aggs, etc.

      Slice of table
 MTHLY_RX_TERR_DATA
       (compressed)                                                                                sum(NRX)
                                     select DISTRICT,      where MONTH = '20091201'
                                             PRODUCTGRP,   and   MARKET = 509123
                                             sum(NRX)      and   SPECIALTY = 'GASTRO'
IBM Netezza True Appliance Massively Parallel Processing™


             SOLARIS           AIX



    Client     TRU64       HP-UX
                                                                                                  S-Blade
                                                                                            1
             WINDOWS       LINUX                                                                      Processor &
                                                                   Consolidate                     streaming DB logic

                                                         SQL
                                                       Compiler                             2
                                                                                                  S-Blade

                                                                                                      Processor &
                                                                                                   streaming DB logic


                                                        Query       Execution
                                                                                                  S-Blade
                                                        Plan         Engine                 3
                                                                                                      Processor &
                                                                                                   streaming DB logic



                                                       Optimize                                 High-Performance
                                                                                                  Database Engine
                                                                                                 Streaming joins,
                  ETL Server
                                                        Admin                                   aggregations, sorts
                                       High-Speed
                                     Loader/Unloader                                              S-Blade
                   DBA CLI                                                                 960
     Source                                            Front End      DBOS                            Processor &
                                                                                                   streaming DB logic
     Systems       3rd Party
                     Apps
                                                                                 Network         Massively Parallel
                                                             SMP Host             Fabric         Intelligent Storage
                      High
                  Performance
                    Loader
The IBM Netezza Appliance: Revolutionizing Analytics




                                                      Digital Media



                                                  Financial Services



                                                       Government


                                                       Health & Life
                                                          Sciences

                                                  Retail / Consumer
                                                            Products


                            Speed: 10-100x faster than traditional systems
                                                     Telecom



                            Simplicity: Minimal administration
                                                       Other
                                                                              Page 13




                            Scalability: Peta-scale user data capacity
                            Smart: High-performance advanced analytics

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The IBM Netezza datawarehouse appliance

  • 1. Turn Information into Insights The IBM Netezza datawarehouse appliance - simplicity with maximum performance. dai clegg
  • 2. The IBM Netezza Appliance: Revolutionizing Analytics  Purpose-built analytics engine  Integrated database, server & storage  Standard interfaces  Low total cost of ownership  Speed: 10-100x faster than traditional systems  Simplicity: Minimal administration  Scalability: Peta-scale user data capacity  Smart: High-performance advanced analytics
  • 3. The Netezza Appliance – Loading OLE-DB Data Integration IBM Information Server Ab Initio JDBC Business Objects/SAP Composite Software Expressor Software Data In GoldenGate Software (Oracle) ODBC Informatica Sunopsis (Oracle) WisdomForce SQL
  • 4. The Netezza Appliance – Querying OLE-DB Reporting & Analysis Cognos (IBM) SPSS (IBM) Unica (IBM) JDBC Actuate Business Objects/SAP Information Builders Data Out Kalido KXEN ODBC MicroStrategy Oracle OBIEE QlikTech Quest Software SQL SAS
  • 5. Digital Media Financial Services Government Health & Life Sciences Retail / Consumer Products Telecom Page 5 Other
  • 6. Speed 15,000 users running 800,000+ queries per day 50X faster than before “…when something took 24 hours I could only do so much with it, but when something takes 10 seconds, I may be able to completely rethink the business process…” - SVP Application Development, Nielsen Source: http://www.youtube.com/watch?v=yOwnX14nLrE&feature=player_embedded
  • 7. Simplicity Up and running 6 months before having any training 200X faster than Oracle system ROI in less than 3 months MONTHS WEEKS “Allowing the business users access to the Netezza box DAYS was what sold it.” Steve Taff, Executive Dir. of IT Services
  • 8. Scalability 1 PB on Netezza 7 years of historical data 100-200% annual data growth “NYSE … has replaced an Oracle 10 relational database with a data warehousing appliance from Netezza, allowing it to conduct rapid searches of 650 terabytes of data.” ComputerWeekly.com Source: http://www.computerweekly.com/Articles/2008/04/14/230265/NYSE-improves-data-management-with-datawarehousing.htm
  • 9. Smart Predicts what shoppers are likely to buy in future visits Coupon redemption rates as high as 25% “Because of (Netezza’s) in-database technology, we believe we'll be able to do 600 predictive models per year (10X as many as before) with the same staff." Eric Williams, CIO and executive VP
  • 10. IBM Netezza True Appliance Massively Parallel Processing™ SOLARIS AIX Client TRU64 HP-UX S-Blade 1 WINDOWS LINUX Processor & Snippets streaming DB logic SQL SQL Compiler S-Blade 2 Processor & streaming DB logic Query Execution S-Blade Plan Engine 3 Processor & streaming DB logic Optimize  High-Performance Database Engine  Streaming joins, ETL Server Admin SQL  aggregations, sorts High-Speed Loader/Unloader S-Blade DBA CLI 960 Source Front End DBOS Processor & streaming DB logic Systems 3rd Party Apps Network Massively Parallel SMP Host Fabric Intelligent Storage High Performance Loader
  • 11. Our Secret Sauce select DISTRICT, PRODUCTGRP, sum(NRX) from MTHLY_RX_TERR_DATA where MONTH = '20091201' and MARKET = 509123 FPGA Core CPU Core and SPECIALTY = 'GASTRO' Restrict, Complex ∑ Uncompress Project Visibility Joins, Aggs, etc. Slice of table MTHLY_RX_TERR_DATA (compressed) sum(NRX) select DISTRICT, where MONTH = '20091201' PRODUCTGRP, and MARKET = 509123 sum(NRX) and SPECIALTY = 'GASTRO'
  • 12. IBM Netezza True Appliance Massively Parallel Processing™ SOLARIS AIX Client TRU64 HP-UX S-Blade 1 WINDOWS LINUX Processor & Consolidate streaming DB logic SQL Compiler 2 S-Blade Processor & streaming DB logic Query Execution S-Blade Plan Engine 3 Processor & streaming DB logic Optimize  High-Performance Database Engine  Streaming joins, ETL Server Admin  aggregations, sorts High-Speed Loader/Unloader S-Blade DBA CLI 960 Source Front End DBOS Processor & streaming DB logic Systems 3rd Party Apps Network Massively Parallel SMP Host Fabric Intelligent Storage High Performance Loader
  • 13. The IBM Netezza Appliance: Revolutionizing Analytics Digital Media Financial Services Government Health & Life Sciences Retail / Consumer Products  Speed: 10-100x faster than traditional systems Telecom  Simplicity: Minimal administration Other Page 13  Scalability: Peta-scale user data capacity  Smart: High-performance advanced analytics

Editor's Notes

  • #3: That’s exactly what the Netezza TwinFin is in the data warehousing and analytics world – a true appliance, which sets it apart from the competition It is engineered from the ground up for data warehousing and analytics And offers a complete solution that integrates database, server and storage together It supports standard interfaces such as ODBC, JDBC and ANSI SQL, making it very easy to deploy. Takes 2 days to get up and running versus weeks for other solutions The appliance characteristics translate into real value for customers (what we refer to as the 4 S’s)TwinFin is 10-100X faster than competitors like Oracle, Teradata and others. When analytic queries take seconds instead of hours to perform, customers get the opportunity to completely rethink their business processes and in some cases, even launch entirely new businesses The appliance is unlike anything that DBAs and IT teams have experienced in the past. Whereas Oracle and Teradata data warehouses require armies of specialists to manage, Netezza offers performance out-of-the-box, without requiring any tuning, indexing, aggregations, etc. A single appliance scales to more than a petabyte of user data capacity, not just acting as a repository for information, but allowing complex analytics to be conducted at-scale, on all the enterprise data By embedding analytics deep into the data warehouse, TwinFin powers high performance advanced analytics 100’s or even 1000’s of times faster than possible before Let’s look at some examples of Netezza (true) appliances in real customer environments
  • #6: A Company is judged by the Company they keep. Those were just a few examples from over 500 Netezza customers Our customers span a variety of vertical industries and sizes
  • #7: Predictability
  • #8: XO Communications offers avariety of communications services including voice over internet protocol (VoIP), dataand internet services, network transport, broadband wireless access, and hosted andmanaged services. Its high capacity IP network and advanced transport networksupport more than 50 percent of the Fortune 500 and many of the world’s largesttelecommunications companies.
  • #12: A key component of Netezza’s performance is the way in which its streaming architecture processes data. The Netezza architecture uniquely uses the FPGA as a turbocharger … a huge performance accelerator that not only allows the system to keep up with the data stream, but it actually accelerates the data stream through compression before processing it at line rates, ensuring no bottlenecks in the IO path. You can think of the way that data streaming works in the Netezza as similar to an assembly line. The Netezza assembly line has various stages in the FPGA and CPU cores. Each of these stages, along with the disk and network, operate concurrently, processing different chunks of the data stream at any given point in time. The concurrency within each data stream further increases performance relative to other architectures.Compressed data gets streamed from disk onto the assembly line at the fastest rate that the physics of the disk would allow. The data could also be cached, in which case it gets served right from memory instead of disk. The first stage in the assembly line, the Compress Engine within the FPGA core, picks up the data block and uncompresses it at wirespeed, instantly transforming each block on disk into 4-8 blocks in memory. The result is a significant speedup of the slowest componentin any data warehouse—the disk. The disk block is then passed on to the Project engine or stage, which filters out columns based on parameters specified in the SELECT clause of the SQL query being processed.The assembly line then moves the data block to the Restrict engine, which strips off rows that are not necessary to process the query, based on restrictions specified in the WHERE clause. The Visibility engine also feeds in additional parameters to the Restrict engine, to filter out rows that should not be “seen” by a query e.g. rows belonging to a transaction that is not committed yet. The Visibility engine is critical in maintaining ACID (Atomicity, Consistency, Isolation and Durability) compliance at streaming speeds in the Netezza.The processor core picks up the uncompressed, filtered data block and performs fundamental database operations such as sorts, joins and aggregations on it. It also applies complex algorithms that are embedded in the snippet code for advanced analytics processing. It finally assembles all the intermediate results together from the entire data stream and produces a result for the snippet. The result is then sent over the network fabric to other S-Blades or the host, as directed by the snippet code.
  • #14: That’s exactly what the Netezza TwinFin is in the data warehousing and analytics world – a true appliance, which sets it apart from the competition It is engineered from the ground up for data warehousing and analytics And offers a complete solution that integrates database, server and storage together It supports standard interfaces such as ODBC, JDBC and ANSI SQL, making it very easy to deploy. Takes 2 days to get up and running versus weeks for other solutions The appliance characteristics translate into real value for customers (what we refer to as the 4 S’s)TwinFin is 10-100X faster than competitors like Oracle, Teradata and others. When analytic queries take seconds instead of hours to perform, customers get the opportunity to completely rethink their business processes and in some cases, even launch entirely new businesses The appliance is unlike anything that DBAs and IT teams have experienced in the past. Whereas Oracle and Teradata data warehouses require armies of specialists to manage, Netezza offers performance out-of-the-box, without requiring any tuning, indexing, aggregations, etc. A single appliance scales to more than a petabyte of user data capacity, not just acting as a repository for information, but allowing complex analytics to be conducted at-scale, on all the enterprise data By embedding analytics deep into the data warehouse, TwinFin powers high performance advanced analytics 100’s or even 1000’s of times faster than possible before Let’s look at some examples of Netezza (true) appliances in real customer environments