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Growing the Grid
Continuous Innovation   Database Vault   Grid Computing In-Memory Database Cache   Automatic Storage Mgmt Self Managing Database    XML Database   Oracle Data Guard   Real Application Clusters   Flashback Query   Virtual Private Database   Built in Java VM   Partitioning Support   Built in Messaging   Object Relational Support   Multimedia Support   Data Warehousing Optimizations   Parallel Operations   Distributed SQL & Transaction Support   Cluster and MPP Support   Multi-version Read Consistency   Client/Server Support   Platform Portability   Commercial SQL Implementation Oracle 2 Oracle 9 i Oracle 5 Oracle 6 Oracle 7 Oracle 8 Oracle 8 i Oracle 10g
Oracle Database - Best Value As of  June 16, 2008: Oracle Database 11 g  Standard Edition One on Dell PowerEdge 2900 (World record TPC-C price/performance result) .97,083 tpmC, .68/tpmC, available 6/16/08. Microsoft SQL Server on  HP ProLiant ML350G5, 82,774,  $0.84/tpmC, available 03/27/07 (Microsoft Best TPC-C price/performance result). .   IBM DB/2 on  HP ProLiant ML350, 18,661 tpmC, $1.61 tpmC, available 12/15/05.  Best TPC-C Price Performance on Linux:  Oracle Database 10g Standard Edition One w/ OEL on HP ProLiant ML350G5, 100,926 tpmC, .74/tpmC, available 6/8/07.  Source: Transaction Processing Performance Council  (www.tpc.org) Best Price Performance on BOTH Linux and Windows Single Intel Processor World Record TPC-C Price Performance
Enabling Innovation with Oracle Database 11g ,[object Object],[object Object],[object Object],[object Object]
Integrating Unstructured Data   Images New in Oracle Database 11g RFID DICOM 3D Binary XML
New in Oracle Database 11g Critical New Data Types RFID  Data Types DICOM Medical Images 3D Spatial Images
Enabling Innovation with Oracle Database 11g ,[object Object],[object Object],[object Object],[object Object]
Gérer la croissance des données Unstructured Data Regulatory Compliance Mergers Acquisitions Structured Data Business Intelligence Data Consolidation
Benefits of Partitioning Large Table Difficult to Manage Partition Divide and Conquer Easier to Manage Improve Performance Composite Partition Higher Performance More flexibility to match business needs ORDERS ORDERS Jan Feb ORDERS Jan Feb Europe USA
Partition Advisor Helps DBAs design and implement partitioning ORDERS ORDERS Jan Feb ORDERS Jan Feb Europe USA
Interval Partitions Automated Partitioning ORDERS Jan Feb ORDERS Jan Feb Mar
Reference Partitioning  Automated Partitioning for Related Tables Orders Orders Orders Jan Feb Mar Orders Inventory Back  Orders Line Items Pick Lists
Advanced Compression Option Save Disk, Reduce I/O, Maximise Memory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Compression 4X Up To
Real World Compression Results 10 Largest ERP Database Tables ,[object Object],MB Data Storage Table Scans Time  (seconds) 2.5x Faster DML Performance Time  (seconds) < 3% Overhead
Enabling Innovation with Oracle Database 11g ,[object Object],[object Object],[object Object],[object Object]
Quality of Service Challenges All at lower cost ,[object Object],[object Object],[object Object],[object Object]
Faster Performance 11g vs 10g Release 2 Internal Benchmarks Java Just-In-Time Compiler Up to 11 x Faster Database Resident Connection Pool Up to  20 x connections RAC Performance Enhancements Up to 70% Faster Query Result Caching Up to 25% Faster Client Side Caching Up to 22% Faster Oracle Secure Backup Up to 25% Faster Oracle Streams Enhancements Up to  2 x Faster Optimizer Stats Collection Up to  10 x Faster
Oracle Database: Best Value TPC-C Lowest Price/Performance As of  October 23, 2007: Oracle Database 11 g  Standard Edition One on HP ProLiant ML350G5,  102,454  tpmC, $0.73/tpmC, available 12/31/07. Microsoft SQL Server on HP ProLiant ML350G5, 82,774 tpmC, .84/tpmC , available 03/27/07. IBM DB/2 on  HP ProLiant ML350, 18,661 tpmC, $1.61 tpmC, available 12/15/05 Source: Transaction Processing Performance Council  (www.tpc.org)
Materialized Views  Typical Architecture Today Materialized Views Sales  by Region Sales  by Date Sales  by Product Sales  by Channel Query Rewrite Region Date Product Channel SQL Query Relational Star Schema
New in Oracle Database 11g Cube Organized Materialized Views Materialized Views Region Date Product Channel SQL Query OLAP Cube Query Rewrite Automatic Refresh
Storage Backup Memory Apps/SQL Schema  RAC Recovery Replication Auto- Tuning Advisory Instrumentation Self Managing Database Liberate DBAs from resource management tasks
Self Managing Database Liberate DBAs from resource management tasks Storage Backup Memory Apps/SQL Schema  RAC Recovery Replication Auto- Tuning Advisory Instrumentation
Flashback Rapid Recovery from Human Error Flashback Data Archive and  Transaction Flashback Database Flashback Tables Flashback Query
Total Recall (Flashback Data Archive) Efficient Change Tracking, Easy Query  ,[object Object],[object Object],[object Object],[object Object],[object Object],User Tablespaces Flashback Data Archive Archive Tables Changes Select * from orders AS OF ‘Midnight 31-Dec-2003’ Total Recall ORDERS
Enabling Innovation with Oracle Database 11g ,[object Object],[object Object],[object Object],[object Object]
Lifecycle of Change Management Resolve Problems Configure Production Apply Updates and Patches Provision Test Environments Test Changes Manage & Tune Performance Manage Changes
Traditional Testing Approach  Production – 1,000s of Real Online Users PRODUCTION
Limited Testing Capabilities  Few users trying to be 1,000s of users TEST PRODUCTION
Real Application Testing Workload for 1,000s of Online Users Captured Capture Workload PRODUCTION
Real Application Testing Workload for 1,000s of Online Users Replayed Capture Replay PRODUCTION TEST Workload
Real Application Testing Performance, Data and Error Divergence Reported
Real Application Testing  Finds Regressed SQL with SQL Performance Analyzer
Pourquoi un test Oracle Real Application? Innover changement rapide 149 Days à: De: 149 jours 11 Jours Automatique Manuel intensive Charge de production Charge de travail artificielle Workflow complette Workflow partielle Jours d'essais Mois d'essais Faible risque haut risque
Oracle Application Express ,[object Object],[object Object],[object Object],[object Object]
Innover plus rapidement ,[object Object],[object Object],[object Object],[object Object],[object Object]
A Q & Q U E S T I O N S A N S W E R S

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Présentation Oracle DataBase 11g

  • 2. Continuous Innovation Database Vault Grid Computing In-Memory Database Cache Automatic Storage Mgmt Self Managing Database XML Database Oracle Data Guard Real Application Clusters Flashback Query Virtual Private Database Built in Java VM Partitioning Support Built in Messaging Object Relational Support Multimedia Support Data Warehousing Optimizations Parallel Operations Distributed SQL & Transaction Support Cluster and MPP Support Multi-version Read Consistency Client/Server Support Platform Portability Commercial SQL Implementation Oracle 2 Oracle 9 i Oracle 5 Oracle 6 Oracle 7 Oracle 8 Oracle 8 i Oracle 10g
  • 3. Oracle Database - Best Value As of June 16, 2008: Oracle Database 11 g Standard Edition One on Dell PowerEdge 2900 (World record TPC-C price/performance result) .97,083 tpmC, .68/tpmC, available 6/16/08. Microsoft SQL Server on HP ProLiant ML350G5, 82,774, $0.84/tpmC, available 03/27/07 (Microsoft Best TPC-C price/performance result). . IBM DB/2 on HP ProLiant ML350, 18,661 tpmC, $1.61 tpmC, available 12/15/05. Best TPC-C Price Performance on Linux: Oracle Database 10g Standard Edition One w/ OEL on HP ProLiant ML350G5, 100,926 tpmC, .74/tpmC, available 6/8/07. Source: Transaction Processing Performance Council (www.tpc.org) Best Price Performance on BOTH Linux and Windows Single Intel Processor World Record TPC-C Price Performance
  • 4.
  • 5. Integrating Unstructured Data Images New in Oracle Database 11g RFID DICOM 3D Binary XML
  • 6. New in Oracle Database 11g Critical New Data Types RFID Data Types DICOM Medical Images 3D Spatial Images
  • 7.
  • 8. Gérer la croissance des données Unstructured Data Regulatory Compliance Mergers Acquisitions Structured Data Business Intelligence Data Consolidation
  • 9. Benefits of Partitioning Large Table Difficult to Manage Partition Divide and Conquer Easier to Manage Improve Performance Composite Partition Higher Performance More flexibility to match business needs ORDERS ORDERS Jan Feb ORDERS Jan Feb Europe USA
  • 10. Partition Advisor Helps DBAs design and implement partitioning ORDERS ORDERS Jan Feb ORDERS Jan Feb Europe USA
  • 11. Interval Partitions Automated Partitioning ORDERS Jan Feb ORDERS Jan Feb Mar
  • 12. Reference Partitioning Automated Partitioning for Related Tables Orders Orders Orders Jan Feb Mar Orders Inventory Back Orders Line Items Pick Lists
  • 13.
  • 14.
  • 15.
  • 16.
  • 17. Faster Performance 11g vs 10g Release 2 Internal Benchmarks Java Just-In-Time Compiler Up to 11 x Faster Database Resident Connection Pool Up to 20 x connections RAC Performance Enhancements Up to 70% Faster Query Result Caching Up to 25% Faster Client Side Caching Up to 22% Faster Oracle Secure Backup Up to 25% Faster Oracle Streams Enhancements Up to 2 x Faster Optimizer Stats Collection Up to 10 x Faster
  • 18. Oracle Database: Best Value TPC-C Lowest Price/Performance As of October 23, 2007: Oracle Database 11 g Standard Edition One on HP ProLiant ML350G5, 102,454 tpmC, $0.73/tpmC, available 12/31/07. Microsoft SQL Server on HP ProLiant ML350G5, 82,774 tpmC, .84/tpmC , available 03/27/07. IBM DB/2 on HP ProLiant ML350, 18,661 tpmC, $1.61 tpmC, available 12/15/05 Source: Transaction Processing Performance Council (www.tpc.org)
  • 19. Materialized Views Typical Architecture Today Materialized Views Sales by Region Sales by Date Sales by Product Sales by Channel Query Rewrite Region Date Product Channel SQL Query Relational Star Schema
  • 20. New in Oracle Database 11g Cube Organized Materialized Views Materialized Views Region Date Product Channel SQL Query OLAP Cube Query Rewrite Automatic Refresh
  • 21. Storage Backup Memory Apps/SQL Schema RAC Recovery Replication Auto- Tuning Advisory Instrumentation Self Managing Database Liberate DBAs from resource management tasks
  • 22. Self Managing Database Liberate DBAs from resource management tasks Storage Backup Memory Apps/SQL Schema RAC Recovery Replication Auto- Tuning Advisory Instrumentation
  • 23. Flashback Rapid Recovery from Human Error Flashback Data Archive and Transaction Flashback Database Flashback Tables Flashback Query
  • 24.
  • 25.
  • 26. Lifecycle of Change Management Resolve Problems Configure Production Apply Updates and Patches Provision Test Environments Test Changes Manage & Tune Performance Manage Changes
  • 27. Traditional Testing Approach Production – 1,000s of Real Online Users PRODUCTION
  • 28. Limited Testing Capabilities Few users trying to be 1,000s of users TEST PRODUCTION
  • 29. Real Application Testing Workload for 1,000s of Online Users Captured Capture Workload PRODUCTION
  • 30. Real Application Testing Workload for 1,000s of Online Users Replayed Capture Replay PRODUCTION TEST Workload
  • 31. Real Application Testing Performance, Data and Error Divergence Reported
  • 32. Real Application Testing Finds Regressed SQL with SQL Performance Analyzer
  • 33. Pourquoi un test Oracle Real Application? Innover changement rapide 149 Days à: De: 149 jours 11 Jours Automatique Manuel intensive Charge de production Charge de travail artificielle Workflow complette Workflow partielle Jours d'essais Mois d'essais Faible risque haut risque
  • 34.
  • 35.
  • 36. A Q & Q U E S T I O N S A N S W E R S

Editor's Notes

  1. That’s why we’re once again raising the bar on our competition with the announcement of Oracle Database 11g. Oracle Database 11g offers the kind of breakthrough performance, scalability, reliability, security and manageability that our customers need. And we’ve added features to ensure that customers can manage change in their database environments with the confidence that their systems can keep up with the rapid pace of innovation.
  2. June 2007 For the first time ever, Oracle is the most affordable database at the low end, taking first place in the price/ performance category For the first time ever, a single database holds the world record in both best performance as well as best price/performance categories. Please note that we already hold several world records for best performance, including TPC-C, TPC-H 300 GB, TPC-H 1 TB, TPC-H 3 TB and SAP SD 2 Tier, etc. just to name a few. It&apos;s extremely difficult to be the best/fastest and the most affordable at anything simultaneously.  For instance, you will probably never see a Honda Civic win the Indianapolis 500 For the first time ever, Oracle beat Microsoft on its strongest selling point, affordability For the first time ever, Oracle beat Microsoft on industry standard X86 processor performance For the first time ever, we have published a benchmark running on an Oracle OS - Enterprise Linux, and secured the first place For the first time ever, we have a comparison of the Oracle stack (Oracle on Enterprise Linux) versus the Microsoft stack (SQL Server on Windows) In short, this benchmark will be a potent weapon to launch a strong marketing counter offensive against Microsoft.
  3. To appreciate how Oracle Database 11g will help customer innovate their business, we’ll walk through each of the challenges identified here in turn.
  4. In Oracle Database 11g, this tradition continues. Organizations in many industries including retail and defense are using RFID tags to track stock and assets that continually move around. New medical image support is added to the database’s multimedia capability, allowing very large medical archives to be effectively built. Support for large 3-D spatial data sets such as urban models, point clouds, and terrain models improves data management for urban planning, homeland security, oil and gas exploration and other location based applications.
  5. An obvious solution to managing more data in database tables is to divide - or partition - large tables into smaller, more manageable chunks. Instead of executing queries against large tables, they can execute against smaller partitions, and instead of performing DBA operations like data loads, backup, etc against large tables, we can execute them all faster using smaller partitions.
  6. Oracle has been providing partitioning mechanisms since Oracle8, and 11g is the most significant release with regard to partitioning. New in Oracle Database 11g is a partition advisor to help guide DBA’s through the process of designing and implementing partitioning strategies on their large tables.
  7. Also new in Oracle Database 11g is ‘automated partitioning’ which automates the creation of new partitions as (for example) range partition move from one month or quarter into the next. Previously the DBA would have to manually allocate a new partition in advance of change of range. But now this process is entirely automated.
  8. Also new is…..Reference Partitioning which makes it easier to partition all related tables using the same partitioning key, simplifying partitioning set up.
  9. As can be seen from these charts, compression not only reduces storage requirements but also tremendously improves read performance. Oracle’s unique algorithm ensures that there is minimal impact on DML operations.
  10. Quality of Service is all about meeting users performance, data security and high availability expectations in a cost effective manner.
  11. As with every release of Oracle Database, customers can anticipate faster performance across the board and Oracle Database 11g is no exception. The RAC cache fusion protocol has been optimized to deliver even better performance for many common usage scenarios such as access to read mostly data, long running queries, and access to LOB datatypes stored as SecureFiles Result caches greatly speed the repeated execution of queries and function calls that access read-only or read-mostly data. The new server result cache stores the results of queries, query blocks, or PL/SQL function calls for immediate transparent reuse by all users. The new client-side query cache eliminates round trips to the server by storing query results for immediate reuse by users sharing the same client application server. Other performance improvements include automatic compilation for PL/SQL and Java in the database, faster triggers (including more efficient invocations of per row triggers), faster simple SQL operations, faster and faster Streams replication.
  12. June 2007 For the first time ever, Oracle is the most affordable database at the low end, taking first place in the price/ performance category For the first time ever, a single database holds the world record in both best performance as well as best price/performance categories. Please note that we already hold several world records for best performance, including TPC-C, TPC-H 300 GB, TPC-H 1 TB, TPC-H 3 TB and SAP SD 2 Tier, etc. just to name a few. It&apos;s extremely difficult to be the best/fastest and the most affordable at anything simultaneously.  For instance, you will probably never see a Honda Civic win the Indianapolis 500 For the first time ever, Oracle beat Microsoft on its strongest selling point, affordability For the first time ever, Oracle beat Microsoft on industry standard X86 processor performance For the first time ever, we have published a benchmark running on an Oracle OS - Enterprise Linux, and secured the first place For the first time ever, we have a comparison of the Oracle stack (Oracle on Enterprise Linux) versus the Microsoft stack (SQL Server on Windows) In short, this benchmark will be a potent weapon to launch a strong marketing counter offensive against Microsoft.
  13. An obvious way to improve query performance, and complex query performance in particular, is to create summaries or materialized views based on star schemas with large transaction tables. Some 2/3 of Oracle Data warehouses already use materialized view, but they tend to be created on an as needed basis and hence we end up with loads of materialized views all over the place.
  14. Performance innovation continues with Oracle Database 11g by delivering OLAP cubes optimized for business intelligence. This performance breakthrough is possible through Cube Organized Materialized Views that come complete with fast incremental update and aggregation. These views are automatically managed by the materialized view refresh system and are transparently accessed by SQL based applications . Access to summary data occurs via automatic query rewrite to the cube; applications remain unchanged, but updates and queries execute much faster. Cube Organized Materialized Views work with a range of business intelligence tools including Oracle Business Intelligence Enterprise Edition, Business Objects, Cognos and Microstrategy.
  15. Adaptive auto-tuning, Integrated advisory, Low-impact instrumentation Schema – 11g adds partition advisor to index and materialized view advisor RAC – finish ADDM Recovery – data repair advisor Replication – streams performance advisor
  16. Flashback Data Archive: Automatically stores all changes to selected tables Archive cannot be modified View table as of any time Uses: Change Tracking ILM Long term history - years Auditing Compliance
  17. All organizations walk a tightrope between adopting new innovation, and running their existing business. As well as delivering significant innovations, Oracle Database 11g also uniquely helps organizations take full advantage of these innovations by managing the change process. Change is a constant; IT is constantly upgrading servers, rolling out upgrades, applying patches, resolving problems and more. Unique change assurance features in Oracle Database 11g are designed to manage changes in a controlled, cost effective manner by minimizing the risk of change and potential for error
  18. Build up story/case of using Oracle Application Express by taking an example - If someone from the audience is using Spreadsheet/Personal Desktop Database for his/her requirement - It would be a good place to start --Every organization wastes time using spreadsheet to collect information from groups of people - Spreadsheets are sent out, people add data to it and then send it back - The recipient is left merging spreadsheet and cleaning up errors -- Personal databases such as Microsoft Access become part of the critical IT infrastructure of your business without even providing web access.