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The future of Information Management in the next 10 years Cüneyt Göksu,  DB2 SME, IBM Gold Consultant [email_address]
Agenda 1. Big Data 3.  How existing  Data Management Architectures  and platforms meet this  data  growth?  2.  Absolute M...
Data Flow becoming... Instrumented Interconnected Intelligent
The situation at a glance   “ The industrial revolution of data”   Joe Hellerstein,  a  computer scientist ,  University o...
Information flow defines BIG DATA...
How Big is Big Data?
How Big is Big Data? Enterprise data doubling  every 3 years Storage capacity continue to increase  dramatically - access ...
How Big is Big Data? Wal-Mart : 1M customer txs/hour, feeding 2.5 PB databases Facebook : 40Billion photos and increasing....
Existing Platforms and BIG DATA   Decentral Central versus
Absolute Musts of Data Management  Scalability Availability  and DR Security Productivity ,  Utilization and Performance S...
Scalability i s the ability of a system   to handle  growing amounts of work  in a graceful manner or its ability to be en...
Availability  and Disaster Recovery ...  measures are classified by either the time interval of interest or the mechanisms...
Security protecting information  from unauthorized access, use, disclosure, disruption, modification, perusal, inspection,...
Productivity ,  Utilization and Performance Utilization  is the proportion of the system's resources which is used by the ...
System Management and Labor  System Management is  enterprise-wide  administration   of systems Is it true ? >:::> More Da...
Green IT is  environmentally sustainable computing . More Servers Less Servers More Power Less Power More Cooling Less Coo...
BIG DATA management with DB2 for z/OS  “ DB2 for z/OS” is IBM’s 25+ years old flagship database Used by;   62  of the top ...
BIG DATA management with DB2 10 for z/OS  20,000 thread/subsystem  (2,000 for V9) Industry-leading Active/Active  Clusteri...
BIG DATA management with DB2 10 for z/OS  Native XML Processing DB2 10 for z/OS  e nables  SAP applications  to have 6X th...
BIG DATA management with DB2 10 for z/OS  Performance, Performance, Performance Delivered the  largest banking benchmark  ...
* SOURCE : TEMENOS BENCHMARKS; http://h71028.www7.hp.com/enterprise/downloads/TemenosBenchmark.pdf ** SOURCE :http://www.e...
BIG DATA management with DB2 10 for z/OS  Larry Ellison, Oracle's Founder and CEO “ I make fun of a lot of other databases...
Future: From BIG DATA to SMART Data 2009 800,000 petabytes 2020 35 zettabytes as much Data and Content Over Coming Decade ...
Future: From BIG DATA to SMART Data IBM  InfoSphere Warehouse IBM  Smart Analytics System Netezza Flexibility Simplicity T...
Thank you The future of Information Management in the next 10 years Cüneyt Göksu,  DB2 SME, IBM Gold Consultant [email_add...
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Do More With Less with DB2 for z/OS

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This is presented in Istanbul on March 30th, organized by IDC, IBM and VBT for CIOs.

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Transcript of "Do More With Less with DB2 for z/OS"

  1. 1. The future of Information Management in the next 10 years Cüneyt Göksu, DB2 SME, IBM Gold Consultant [email_address]
  2. 2. Agenda 1. Big Data 3. How existing Data Management Architectures and platforms meet this data growth? 2. Absolute Musts of Data Management 4. DB2 10 for z/OS : More with Less 5. From Big Data to Smart Data
  3. 3. Data Flow becoming... Instrumented Interconnected Intelligent
  4. 4. The situation at a glance “ The industrial revolution of data” Joe Hellerstein, a computer scientist , University of California in Berkeley Time Growth of Computing Power New Information All Digital Data Sensemaking Algorithms Growing Amnesia Index?
  5. 5. Information flow defines BIG DATA...
  6. 6. How Big is Big Data?
  7. 7. How Big is Big Data? Enterprise data doubling every 3 years Storage capacity continue to increase dramatically - access speeds have not kept up At avg. transfer speed of 500 MB/sec - 1 TB of data will require ~30 mins to read from single drive
  8. 8. How Big is Big Data? Wal-Mart : 1M customer txs/hour, feeding 2.5 PB databases Facebook : 40Billion photos and increasing... Big Turkish Bank : 200 M txs/day, 0.06 second/tx UK Land Registery : The world’s largest known OLTP database – 71 TB at UK Land Registry
  9. 9. Existing Platforms and BIG DATA Decentral Central versus
  10. 10. Absolute Musts of Data Management Scalability Availability and DR Security Productivity , Utilization and Performance System Management Labor, Skills and Resources Green IT
  11. 11. Scalability i s the ability of a system to handle growing amounts of work in a graceful manner or its ability to be enlarged to accommodate that growth Scale-out or Horizontally Scale-up or Vertically
  12. 12. Availability and Disaster Recovery ... measures are classified by either the time interval of interest or the mechanisms for the system downtime Financial Impact of Downtime Per Hour What’s yours?? $704K Chemicals $669K Transportation $786K Consumer Products $997K Banking $1,082K Pharmaceuticals $1,107K Retail $1,202K Insurance $1,345K Information Technology $1,495K Financial $1,611K Manufacturing $2,066K Telecommunications $2,818K Energy Cost Industry segment 2h 11m 15h 20m Annual outage $3.3M $22.9M Cost of Downtime 99.975% 99.825% Availability % Central Decentral
  13. 13. Security protecting information from unauthorized access, use, disclosure, disruption, modification, perusal, inspection, recording or destruction . Last Year , Oracle issued 45 security patches Decentral Central 25 + Years of Secure Operation! In 20 years , DB2 for z/OS has had less than 5 security patches
  14. 14. Productivity , Utilization and Performance Utilization is the proportion of the system's resources which is used by the traffic which arrives at it Specific/Single Workload Mixed Workload Shared Nothing Shared Everything %15-20 Utilization %85-90 Utilization Decentral Central
  15. 15. System Management and Labor System Management is enterprise-wide administration of systems Is it true ? >:::> More Data needs More DBAs and System Management efforts! it highly depends!!! Running on Decentral or Central.
  16. 16. Green IT is environmentally sustainable computing . More Servers Less Servers More Power Less Power More Cooling Less Cooling Decentral Central More Space Less Space
  17. 17. BIG DATA management with DB2 for z/OS “ DB2 for z/OS” is IBM’s 25+ years old flagship database Used by; 62 of the top 62 WW banks 2 4 of the top 25 US retailers Over 100 of the largest Government ’ s in the world 9 of the top 10 global life/ health insurance provider s
  18. 18. BIG DATA management with DB2 10 for z/OS 20,000 thread/subsystem (2,000 for V9) Industry-leading Active/Active Clustering arch. <ul><li>T op 3 IT issues today according to the 2010 IBM CIO St udy </li></ul><ul><ul><li>Reduce Cost </li></ul></ul><ul><ul><li>Improve Service </li></ul></ul><ul><ul><li>Manage Risk </li></ul></ul>Up to 20% reductions in CPU Time Travel Query – IBM is 1 st in the Industry to provide integrated bi-temporal capabilities that is essential for Financial Services customers
  19. 19. BIG DATA management with DB2 10 for z/OS Native XML Processing DB2 10 for z/OS e nables SAP applications to have 6X the number of users and activities on a single system. Virtual storage improvements deliver 10X more scalability Workload Consolidation (OLTP, Batch, DW, BI) Industry leading Hardware Compression since V3 Complete SQL Portability between platforms
  20. 20. BIG DATA management with DB2 10 for z/OS Performance, Performance, Performance Delivered the largest banking benchmark ever at the Kookmin Bank in Korea , a record 15,353 transactions per second Supports the world’s largest known peak database workload - 1.1 Billion SQL statements per hour at UPS The world’s largest known OLTP database – 71 TB at UK Land Registry
  21. 21. * SOURCE : TEMENOS BENCHMARKS; http://h71028.www7.hp.com/enterprise/downloads/TemenosBenchmark.pdf ** SOURCE :http://www.enterprisenetworksandservers.com/monthly/art.php?2976 Source : InfoSizing FNS BANCS Scalability on IBM System z – Report Date: September 20, 2006 *** Standard benchmark configuration reached 8,024 tps, a modified prototype reached 9,445 tps <ul><li>Bank of China ** </li></ul><ul><ul><li>IBM System z9 and DB2 </li></ul></ul><ul><ul><li>TCS BaNCS (Cobol) </li></ul></ul><ul><ul><li>9,445*** Transactions/second </li></ul></ul><ul><ul><li>380 Million Accounts </li></ul></ul><ul><ul><li>IBM benchmark for customer </li></ul></ul><ul><li>HP/Temenos * </li></ul><ul><ul><li>HP Itanium </li></ul></ul><ul><ul><li>Temenos T24 (Java) </li></ul></ul><ul><ul><li>2,153 Transactions/second </li></ul></ul><ul><ul><li>13 Million Accounts </li></ul></ul><ul><ul><li>Largest banking benchmark performance claimed by HP </li></ul></ul><ul><li>Asian Bank *** </li></ul><ul><ul><li>IBM System z9 and DB2 </li></ul></ul><ul><ul><li>TCS BaNCS (Cobol) </li></ul></ul><ul><ul><li>15,353 Transactions/second </li></ul></ul><ul><ul><li>50 Million Accounts </li></ul></ul><ul><ul><li>IBM benchmark for customer </li></ul></ul>System z With DB2 Scales Further Than Best HP Superdome Banking Benchmark System z and BaNCS Online Banking Benchmarks 1589 3120 4665 5723 8024 2603 4360 6622 7443 8983 14252 15353 0 4,000 8,000 12,000 16,000 0 10,000 20,000 30,000 40,000 50,000 MIPS Transactions Per Second (TPS) Linear Scaling HP/Temenos maximum benchmark 2,153 TPS 9445
  22. 22. BIG DATA management with DB2 10 for z/OS Larry Ellison, Oracle's Founder and CEO “ I make fun of a lot of other databases – all other databases in fact, except the mainframe version of DB2. It's a first-rate piece of technology .”
  23. 23. Future: From BIG DATA to SMART Data 2009 800,000 petabytes 2020 35 zettabytes as much Data and Content Over Coming Decade Volume Variety Velocity 44x Organization leaders frequently make decisions based on information they don’t trust, or don’t have 1 in 3 83% of CIOs cited “ Business intelligence and analytics ” as part of their visionary plans to enhance competitiveness Organization leaders say they don ’t have access to the information they need to do their jobs 1 in 2 of CEOs need to do a better job capturing and understanding information rapidly in order to make swift business decisions 60 %
  24. 24. Future: From BIG DATA to SMART Data IBM InfoSphere Warehouse IBM Smart Analytics System Netezza Flexibility Simplicity The right mix of simplicity and flexibility Flexible Integrated System True Appliance Custom Solution Information Management Portfolio (Information Server, MDM, Streams, etc) Warehouse Accelerators
  25. 25. Thank you The future of Information Management in the next 10 years Cüneyt Göksu, DB2 SME, IBM Gold Consultant [email_address]
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