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Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
Db2 10 : What's New
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Db2 10 : What's New

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What's New : IBM DB2 10, Smarter Analytics Live - 5 juin 2012 - par Isabelle Claverie Bergé

What's New : IBM DB2 10, Smarter Analytics Live - 5 juin 2012 - par Isabelle Claverie Bergé

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  • 1. Isabelle Claverie-Bergé – IM Architect5 Juin 2012IBM DB2 10What’s new © 2011 IBM Corporation
  • 2. DB2 10.1 for LUW - New Release Highlights Faster business decisions • Multiple instances of 3x faster performance for complex query workloads 1 • Real-time operational data warehousing Lower storage costs • Have seen more than one client achieve greater than 7x overall space savings with Adaptive Compression, with some tables achieving more than 10x space savings 2 • Multi-Temperature Data Management Improved data availability with DB2 pureScale enhancements Easy switch from Oracle Database to DB2 • Average PL/SQL compatibility moves above 98% 31. Based on internal tests of IBM DB2 9.7 FP3 vs. DB2 10.1 with new compression features on P6-550 systems with comparable specifications using data warehouse/decision support workloads, as of 29 Mar 20122. Based on client testing in the DB2 10 Early Access Program3. Based on internal tests and reported client experience from 28 Sep 2011 to 07 Mar 2012 2 © 2011 IBM Corporation
  • 3. DB2 10.1 for LUW - High Performance, Low Costs Low Operational Ease of Development Reliability Cost SQL compatibility, High availability, Parallel processing, native XML and graph fast recovery, deep compression, stores, and online utilities and automation and cloud support "With each release of DB2, I experience faster results with less CPU.” --Martin Hubel, President, Martin Hubel Consulting Inc.3 © 2011 IBM Corporation
  • 4. Building On the Pillars of DB2 Low Operational Ease of Costs Development Reliability Adaptive compression Temporal capabilities DB2 pureScale enhancements Multi-Temperature Row and Column Data Management Access Control Workload management enhancements Faster query response SQL compatibility HADR support extended to enhancements multiple standby servers Improved index mgmt NoSQL graph store Real-time data warehousing Hadoop linkage4 © 2011 IBM Corporation
  • 5. Up to 10x Savings with Adaptive Compression Low Operational CostsLower Storage Costs. Lower Administration Costs DB2 10.1 Adaptive Compression DB2 9.7 Temp Space and DB2 9.1 Index Table Compression Compression Adaptively apply both table-level compression and page-level compression Table reorganization not required to maintain high compression Compress archive logs 5 © 2011 IBM Corporation
  • 6. Multi-Temperature Data Management Low Operational CostsIncrease Ability to Meet SLAs. Postpone Hardware Upgrades Storage pools for different tiers of storage • For range partitions, policy-based automated movement of data • DB2 Workload Manager (WLM) support HOT WARM COLD DORMANT SSD RAID SAS RAID SATA RAID Archive (e.g. Optim Data Growth) "Multi-temperature data management helps in breaking the I/O thresholds during intensive log writings in high OLTP environments." -- Ahtesham Akhtar, Information Management Consultant SBM. "The ability to prioritize access to hot data with DB2 10 Workload Manager and Multi-temperature Storage means a significant storage cost savings for our customers.“ -- Radu Parvu, Senior Systems Analyst – Solution Specialist, Accenture, Finnland. 6 © 2011 IBM Corporation
  • 7. Up to 3x Faster Query Performance Low Operational CostsIncrease Ability to Meet SLAs. Postpone Hardware Upgrades Multi-core parallelism enhancements Performance improvements for • Queries over star schemas • Queries with joins and sorts • Queries with aggregation • Hash joins Higher performance • Up to 35% faster out-of-the-box performance • Up to 3x faster when using new features Lower costs • Postpone hardware upgrades “DB2 10.1 performance improvements helped us in achieving nearly 5X faster query response times." -- Bin Ma, Division Manager, Beijing Join-Cheer Software Co. Ltd 7 © 2011 IBM Corporation
  • 8. Low OperationalReal-Time Data Warehousing: INGEST Utility CostsContinuous feed of data • New, high-speed, client-side utility that streams data from files or pipes into a target table Fast! Uses an optimized multi-threaded design to process data in parallel and to ingest data into multiple database partitions in parallel Available! Operates at the row level using row-level locking. Allows normal read/write access against the target table while it is running Continuous! Not only can it run against pre-processed data directly from files, INGEST can run in a continuous manner by reading a stream from a pipe Robust! Designed to be tolerant of unexpected failures. Can be restarted from last commit point Flexible and Functional! Supports a number of input formats and has rich data manipulation capabilities “You can now continuously feed data into your data warehouse at a high rate even whilst you are running queries against the tables in our data warehouse. InfoSphere Warehouse 10 represents a greatly strengthened offering for the data warehouse market.”8 —Ivo Grodtke, LIS.TEC GmbH © 2011 IBM Corporation
  • 9. Time Travel Query Ease of DevelopmentEasily Analyze Historical Trends and Predict Future Demand Query data as it was at any point in the past, or as it will be at some point in the future Provide temporal logic and analysis Can be based on system time, application-based time and queried using AS OF queries How with it help you? • Higher performance Native support for fast performance • Lower costs Up to 45x fewer lines of code than Java Eliminate need to maintain and update custom temporal implementations Easy to administer (simply turn on for any table) “The use of standardized SQL syntax for temporal operations and the integration deep into the database engine, make DB2 a leader in second generation bitemporal data management - Bitemp 2.0!” —Craig Baumunk, Principal at BitemporalData.com 9 © 2011 IBM Corporation
  • 10. Row and Column Access Control Ease of DevelopmentData Centric SecurityEase of Compliance with Privacy and Sensitive Data Requirements Fine-grained access control • Hide rows from unauthorized users • Mask the value of columns for unauthorized users Data-Centric security Policy-driven security, with flexible policies Does not require classification Account Name Income Branch 1111-2222-3333-4444 Ana 22,000 A 2222-3333-4444-5555 Bob 71,000 B Teller Amy sees 3333-4444-5555-6666 Celia 123,000 B Telemarketer Pat sees 4444-5555-6666-7777 Dinesh 172,000 C Account Name Income Branch Account Name Income Branch 2222-3333-4444-5555 Bob 71,000 B xxxx-xxxx-xxxx-4444 Ana 22,000 A 3333-4444-5555-6666 Celia 123,000 B xxxx-xxxx-xxxx-5555 Bob 71,000 B xxxx-xxxx-xxxx-6666 Celia 123,000 B xxxx-xxxx-xxxx-7777 Dinesh 172,000 C 10 © 2011 IBM Corporation
  • 11. DB2 10 PL/SQL Compatibility Ease of DevelopmentAverage PL/SQL Compatibility Moves Above 98% 9.7.1 SUB STRB Increase compatibility 9.7.1 UDF Parameters: INOUT Increase compatibility 9.7.1 FORALL/BULK COLLECT Increase compatibility “The total cost of ownership with DB2 running on 9.7.1 Improve BOOLEAN Increase compatibility IBM systems is almost half the cost of Oracle 9.7.1 Conditional Compilation Enhancement Database on Sun systems.” 9.7.1 Basic DPF Support Broaden coverage --- Reliance Life Insurance 9.7.1 OCI Support Broaden coverage 9.7.2 UDF Parameters: DEFAULT Increase compatibility 9.7.2 Obfuscation Enhancement 9.7.2 NCHAR, NVARCHAR, NCLOB Increase compatibility 9.7.3 NUMBER Performance Performance “We switched from Oracle Database to IBM DB2 and cut our costs in half, 9.7.3 Runtime “purity level” Enforcement Increase compatibility while improving performance and 9.7.3 RATIO_TO_REPORT Function Increase compatibility reliability of business applications.” 9.7.3 RAISE_APPLICATION_ERROR Increase compatibility Sandro Reátegui Banco de Crédito del Peru 9.7.3 Small LOB Compare Increase compatibility 9.7.4 Multi-action Trigger & Update Before Trigger Increase compatibility 9.7.4 Autonomous Tx Improvements Increase compatibility 9.7.4 LIKE Improvements, LISTAGG Increase compatibility • Moved from Oracle Database to IBM DB2 9.7.4 ROW & ARRAY of ROW JDBC Support Increase compatibility • Used “compatibility features” 9.7.5 Pro*C Support Increase compatibility • 3-30x faster query performance 9.7.5 Nested Complex Objects Increase compatibility • 200% improvement in data availability -- JSC Rietumu Banka 10 Local Procedure Definitions Increase compatibility 10 Local Type Definitions Increase compatibility 10 PL/SQL Performance Performance 11 © 2011 IBM Corporation
  • 12. DB2 NoSQL Graph Store Ease of DevelopmentRapid Application Development Optimized method to store graph triples in DB2 Curt Cotner ownsCar 2012 Ferrari Curt Cotner ownsHouse 123 Maple Ave, Chicago Curt Cotner ownsBoat 2001 Thunderjet Supports SPARQL 1.0 query language 160 Higher performance 140 137,343 • Almost 4x faster for leading open source semantic 120 Web framework 100 Seconds 80 Lower costs 60 • Rapid development with schema-less approach 40 38,825 • Easy adaption as needs evolve 20 0 • Simpler data management for triples Jena TDB DB2 NoSQL Graph Store 12 © 2011 IBM Corporation
  • 13. DB2 pureScale Feature Reliability Automatic workload balancing Cluster of DB2 nodes running on Power or System x servers Leverages the global lock and memory manager technology from the z/OS platform Integrated Tivoli System Automation High speed interconnect and DB2 cluster services Shared data13 © 2011 IBM Corporation
  • 14. DB2 10.1 pureScale Enhancements ReliabilityIncrease Ability to Meet SLAs. Easily Add or Remove Capacity Further improving IBM’s shared-disk cluster capability New features and function in DB2 10.1 • Installation enhancements • Workload management for DB2 pureScale • Range partitioning support • Additional backup and restore options • Support for 10-gigabit Ethernet • Support for multiple InfiniBand adapters and switches 14 © 2011 IBM Corporation
  • 15. DB2 Workload Management ReliabilityIncrease Ability to Meet SLAs. Postpone Hardware UpgradesNew CPU limits • % of resources DB2 can consume Service OtherNew CPU shares Class A 30% Processes • % of limit a service class can consume • Hard shares and soft shares Service Class B 50% 20%Introducing a new perspective data-centric (where) DB2 • New data tag attribute for storage group or table space Priority can be given to requests based on what data is accessed Service Class C • WLM work class and threshold DDL have been extended to support the new data tag attributeWork class sets are predictive based on query compilationData tag thresholds are reactive and use information that is available at runtimeThese additional features continue to allow WLM to provide you with higher performance by prioritizingimportant workloads, allowing more efficient distribution of workloads, and saving money by postponinghardware upgradesCustomizing and managing workloads is available only with DB2 Advanced Enterprise Server Edition “Managing and operating a system will be easier with new WLM, and it will lead to longer hardware replacement period, thus increase IT TCO in general.” -- YoungJu Lee, Principal Data Consultant, E1 Tech.15 © 2011 IBM Corporation
  • 16. HADR Supports Multiple Standby Servers ReliabilityIncrease Ability to Meet SLAs. Disaster Recovery HADR now supports more than one stand-by server • If primary server fails, principle standby takes over • If principle standby then fails, can switch to auxiliary standby • Auxiliary standby can provide complete offsite availability, while maintaining speed of local standby Time delay apply available for the standby 16 © 2011 IBM Corporation
  • 17. DB2 10.1 Advanced Editions Offer a Broad Solution PlatformHigher Value at a Very Competitive Bundled PriceBased on DB2 ESE but includes additional key features and products • DB2 10.1 Enterprise Server Edition, which includes Advanced Security [Row and Column Access Control, Label Based Access Control] Time Travel Query Multi-Temperature Data Management • DB2 Advanced Enterprise Server Edition additionally includes Storage Optimization Feature, including Adaptive Compression Continuous Data Ingest DB2 Workload Management, for monitoring and controlling workloads Homogeneous Replication Feature for DB2 (restricted use between 3 DB2 LUW systems) InfoSphere Federation Server (restricted use between Oracle and DB2 LUW) Tooling • IBM Data Studio • InfoSphere Data Architect (10 authorized users) * • InfoSphere Optim Configuration Manager * • InfoSphere Optim Performance Manager Extended Edition (add Extended Insight *) • InfoSphere Optim Query Workload Tuner * • InfoSphere Optim pureQuery Runtime * This color denotes new functions and products available in DB2 AESE 10.1 for LUW Low Operational Costs * Optim tool currently not included in earlier versions 17 © 2011 IBM Corporation
  • 18. In Closing - Building On the Pillars of DB2 Low Operational Ease of Costs Development Reliability Adaptive compression Temporal capabilities DB2 pureScale enhancements Multi-Temperature Row and Column Data Management Access Control Workload management enhancements Faster query response SQL compatibility HADR support extended to enhancements multiple standby servers Improved index mgmt NoSQL graph store Real-time data warehousing Hadoop linkage18 © 2011 IBM Corporation
  • 19. Additional Material19 © 2011 IBM Corporation
  • 20. DB2 10.1 New and Changed Functionality across DB2 Editions IBM DB2 DB2 Database DB2 Advanced Enterprise DB2 Edition Enterprise DB2 Express Workgroup Server Enterprise Developer Edition Server Edition Edition Edition Offer higher values across all editions Higher availability with High- Availability Data Replication (HADR), including multiple HADR Greater security with new Row & Column Access Control and existing Label Based Access Control (ie Advanced Access Control Feature) Time Travel Query Differentiate across editions Adaptive Compression (i.e., Storage Optimization Feature) Opt DB2 pureScale Opt Opt Multi-temperature Storage Continuous Data Ingest 20 © 2011 IBM Corporation
  • 21. 21 © 2011 IBM Corporation
  • 22. Legal Disclaimer • © IBM Corporation 2011. All Rights Reserved. • The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. • References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. • If the text contains performance statistics or references to benchmarks, insert the following language; otherwise delete: Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the users job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. • If the text includes any customer examples, please confirm we have prior written approval from such customer and insert the following language; otherwise delete: All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. • Please review text for proper trademark attribution of IBM products. At first use, each product name must be the full name and include appropriate trademark symbols (e.g., IBM Lotus® Sametime® Unyte™). Subsequent references can drop “IBM” but should include the proper branding (e.g., Lotus Sametime Gateway, or WebSphere Application Server). Please refer to http://www.ibm.com/legal/copytrade.shtml for guidance on which trademarks require the ® or ™ symbol. 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