Leveraging DB2 Data Warehouse Edition for Business Intelligence

An IBM Redbooks publication

Published 29 November 2006, updated 10 September 2007

cover image

ISBN-10: 0738496685
ISBN-13: 9780738496689
IBM Form #: SG24-7274-00
(588 pages)

More options

Rate and comment

Authors: Chuck Ballard, Angus Beaton, David Chiou, Janardhan Chodagam, Meridee Lowry, Andrew Perkins, Richard T. Phillips, John Rollings


In this IBM Redbooks publication we describe and discuss DB2 Data Warehouse Edition (DWE) Version 9.1, a comprehensive platform offering with functionality to build a business intelligence infrastructure for analytics and Web-based applications, and best practices for deployment. DB2 DWE integrates core components for data warehouse construction and administration, data mining, OLAP, and InLine Analytics and reporting. It extends the DB2 data warehouse with design-side tooling and runtime infrastructure for OLAP, data mining, InLine Analytics, and intra-warehouse data movement and transformation, on a common platform based on DB2 and WebSphere. The platform pillars are based on the technology of DB2, Rational Data Architect (for physical data modeling only), the SQL Warehousing Tool, Intelligent Miner, DB2 Cube Views, and Alphablox. DWE includes an Eclipse-based design environment, DWE Design Studio, that integrates the DWE products (with the exception of Alphablox and Query Patroller) with a common framework and user interface. The new SQL Warehousing Tool enables visual design of intra-warehouse, table-to-table data flows and control flows using generated SQL. DB2 Alphablox is the tool for developing custom applications with embedded analytics-based visual components. DWE enables faster time-to-value for enterprise analytics, while limiting the number of vendors, tools, skill sets and licenses required.

Table of contents

Chapter 1. Information warehousing for business insight
Chapter 2. DB2 DWE - A technical overview
Chapter 3. The DB2 DWE Design Studio
Chapter 4. Developing the physical data model
Chapter 5. Enabling OLAP in DB2 UDB
Chapter 6. Data movement and transformation
Chapter 7. DWE and data mining
Chapter 8. InLine Analytic Applications
Chapter 9. Deploying and managing DWE solutions
Chapter 10. DB2 UDB Data Warehouse features
Chapter 11. Managing SQL queries with DWE
Appendix A. IBM data warehousing - complementary software
Appendix B. DWE Admin - Problem Determination Example

Follow IBM Redbooks

Follow IBM Redbooks