IBM Data Warehousing : With IBM business Intelligence Tools

* Reviews planning and designing architecture and implementing the data warehouse. Includes discussions on how and why to apply IBM tools. Offers tips, tricks, and workarounds to ensure maximum performance. Companion Web site includes technical notes, product updates, corrections, and links to relevant material and training.

Acknowledgments. Introductio. Part 1: FUNDAMENTALS OF BUSINESS INTELLIGENCE AND THE DATA WAREHOUSE . Chapter 1. Overview of the BI Organization. Chapter 2. Business Intelligence Fundamentals. Chapter 3. Planning Data Warehouse Interations. Part 2: BUSINESS INTELLIGENCE ARCHITECTURE . Chapter 4. Designing the Data Architecture. Chapter 5. Technical Architecture and Data Management Foundations. Part 3: DATA MANAGEMENT . Chapter 6. DB2 BI Fundamentals. Chapter 7. DB2 Materialized Query Tables. Part 4: WAREHOUSE MANAGEMENT . Chapter 8. Warehouse Management with Data Warehouse Center. Chapter 9. Data Transformation with Data Warehouse Center. Chapter 10. Dealing with Meta Data. Part 5: OLAP AND IBM . Chapter 11. Multidimensional Data with DB2 OLAP Server. Chapter 12. OLAP with Data Warehouse Center. Chapter 13. DB2 OLAP Functions. PART SIX: ENHANCED ANALYTICS. Chapter 14. Data Mining with Intelligent Miner. Chapter 15. DB2 Enhanced BI Features and Functions. Chapter 16. Blending Spatial Data into the Warehouse. Bibliography.Index.