2. Oracle10g for Data Warehousing Jiangang Luo Jiangang.Luo@oracle.com

3. Gartner Data Warehouse Magic Quadrant http://mediaproducts.gartner.com/reprints/oracle/121302.html

4. Every major platform, Every major architecture Oracle Terabyte DW Customers Consumer Packaged Goods / Retail Communications Financial Services Manufacturing.

5. Questions for today’s Enterprise Do you have the information you need to make timely, optimized decisions for improving your revenue and profits? Can you analyze and drill down on information to make precise decisions for optimizing your day-to-day business operations? Do you have a personalized, single point of access to all your intelligence? Do you have multiple departmental data marts across your enterprise? How do you ensure users can only access information pertinent to their role or job duties?

6. Business Intelligence: The Old Way ETL Processing Marketing Finance Sales Independent Data Marts OLAP Engine Mining Engine SQL Server DB2 Oracle Reporting Fragmented Data Fragmented Analysis

7. Business Intelligence: The Best Way Consolidate Data Consolidate Analysis Oracle Data Mart Enterprise Data Warehouse Marketing Finance Sales OLAP Data Mining ETL

8. The Evolving Approach to Warehouse Architecture OLTP ODS Data Warehouse “Hub” “Dependent” Data Mart “Independent” Data Mart Staging Area/ODS EDW – 3NF - Atomic Reporting/Performance layer- Dimensional Executive highly summarized OLTP systems Traditional Warehouse InfrastructureEnterprise Warehouse Infrastructure Single database infrastructure While data warehouse architectural options are debatable…… the need for one is not.

9. BI /DW Overview

10. ETL OLAP Data Mining Web 企业 应用程序 DB Legacy Oracle Warehouse Builder Oracle 10g Oracle Application Server Reports Discoverer BI Beans Oracle BI/DW Solution BI DW BI Beans Discoverer Reports

11. Oracle Datawarehousing Warehouse Builder Busines External Data Data Model Dictiona ry ETL Scripts Reports Discoverer OLAP JDeveloper (BI Beans) Portal Discoverer Portlets Data Miner Data Warehouse Revenue CustomerTime Product Channel Cubes Data

12. Oracle10 g for Business Intelligence  A scalable, full-featured data engine, running on any hw platform, providing enterprise-strength security and reliability – not a server running on proprietary or special-purpose hardware  A single platform delivering all analytic capabilities – not a collection of special-purpose analytic engines with separate repositories  An integral component of a company's information architecture – not an island of data and analytical results

13. Platform for Business Intelligence: ETL Data Warehousing ETL OLAP Data Mining Oracle9 i Transformation Engine Integrated in Oracle DB Scalable (parallel) Extensible (Java, PL/SQL) Efficient (no data staging) Warehouse Builder Extensible framework for designing and deploying DW’s

14. Extract Change Data Capture External Tables SQL*Loader Data Pump Transportable Tablespaces Multi-Table Insert MERGE Distributed Queries Table Functions LoadTransformInsert Oracle10g ETL Infrastructure Addressing the entire spectrum * New functionality * Enhanced functionality

15.  Data Mining embedded in Oracle Database – Simplifies process, eliminates data movement, and delivers performance and scalability  Enhances applications with predictions and insights – Available inside the database  Java-based API – For developing business intelligence applications Oracle Data Mining Data Warehousing ETL OLAP Data Mining Oracle10g

16. Platform for Business Intelligence: OLAP Data Warehousing ETL OLAP Data Mining Oracle9 i  What is the Oracle OLAP? – Industrial-strength multidimensional calculation engine – Multidimensional data types – OLAP API to the Oracle9i Database  Why do I need the OLAP? – Complements relational technology by enhancing the Database's calculation capabilities  Multidimensional queries  Planning functions  What-if analysis

17.  Full set of OLAP capabilities  All storage and processing in the Oracle database – Multidimensional structures (dimensions, cubes) stored natively in the database – No exterior file storage or separate olap process (unlike competitive products)  SQL access to multidimensional objects & calculations  BI Beans for rapid development of internet applications Oracle OLAP OLAP

18. Data Warehouse Business Problem Replication and Fragmentation Data Warehouse Data Replication

19. Oracle10g changes this … Data Warehouse DataWarehouseEngine Data Integration Engine OLAP Engine Mining Engine  Multiple databases  Multiple servers  Multiple engines  Proprietary interfaces  Complex environment  Slow conversion of data to information

20. Into this … Data Warehouse  Single database  Single server  Single engine  Standard interfaces  Simplified environment  Fastest conversion of data to information Data Warehousing ETL OLAP Data Mining Oracle10gDB

21.  Workload Repository – Collects and maintains key system metrics: performance measures, SQL workload, feature usage, …  Automatic SQL Tuning – Re-optimizes poor performing queries in background – Applies plan improvements to subsequent executions  Self-Tuning Memory – No more parameters for shared_pool, large_pool, … – Two parameters only: PGA, SGA  Automated Storage Management – Removes need to manage storage at the “file” level – Simplified management at “disk group” level Key 10 g Manageability Features for DW/BI

22. Oracle Database 10g DW Major Feature Summary ULDB support – Database size extended to Exabytes (BIGFILES) – Unlimited size LOBs – Hash Partitioned Global Indexes – ASM removes file system limits More Value From Your Data – Many New OLAP Features – New Data Mining algorithms – Stand-alone Data Mining Tool – Advanced Statistics – SQL Model Clause – Frequent Item Sets – Partition Outer Join Intelligence When You Need It – Cross Platform Transportable Tablespaces – Data Pump – Async Change Data Capture – Enhancements to MERGE Reduced Total Cost of Ownership Manageability – Workload Repository – Automatic SQL Tuning – Self-Tuning Global Memory – ASM