IBM Data Warehousing

With IBM Business Intelligence Tools

Michael L. Gonzales

674 pages, parution le 27/02/2003

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Résumé

"This book not only describes the intricacies of various IBM products, such as IBM DB2, IBM Intelligent Miner, and IBM DB2 OLAP, but it also sets the context by providing a comprehensive overview of data warehousing architecture, analytics, and data management."
—Wayne Eckerson, Director of Research, The Data Warehousing Institute

In IBM Data Warehousing, Michael Gonzales shows how to exploit IBM technologies to get the most from your data warehousing investment. These technologies include everything from SMP and MPP technical architectures to DB2 Universal Database and DB2 OLAP Server. The author provides an in-depth look at the fundamentals of business intelligence (BI), the BI architecture, data management, and enhanced analytics. In addition, he presents expert tips, tricks, and workarounds to ensure maximum performance of your IBM data warehouse.

This book covers the suite of IBM products necessary for determining your warehousing needs and building your BI environment. Key topics include:

Features of DB2 that support business intelligence and data warehousing efforts
IBM technologies that facilitate the management of your warehouse
OLAP, data mining, spatial analysis and meta data as it relates to IBM technology
Project management techniques for prioritizing business intelligence iterations and reducing risks
Choosing the right data warehousing architecture for your business needs

The companion Web site contains links to vendors, technical notes, and other reference material for the products mentioned in the book.

Contents

Acknowledgments.
Introduction.
PART ONE: 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 Iterations.
PART TWO: BUSINESS INTELLIGENCE ARCHITECTURE.
Chapter 4. Designing the Data Architecture.
Chapter 5. Technical Architecture and Data Management Foundations.
PART THREE: DATA MANAGEMENT.
Chapter 6. DB2 BI Fundamentals.
Chapter 7. DB2 Materialized Query Tables.
PART FOUR: WAREHOUSE MANAGEMENT.
Chapter 8. Warehouse Management with IBM DB2 Data Warehouse Center.
Chapter 9. Data Transformation with IBM DB2 Data Warehouse Center.
Chapter 10. Meta Data and the IBM DB2 Warehouse Manager.
PART FIVE: OLAP AND IBM.
Chapter 11. Multidimensional Data with DB2 OLAP Server.
Chapter 12. OLAP with IBM DB2 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.

L'auteur - Michael L. Gonzales

MICHAEL L. GONZALES is President of The Focus Group, Ltd., where he guides organizations from the initial development phase of a data warehouse project to full imple-mentation. He has written for publications including Intelligent Enterprise and DB2 Magazine, is a frequent speaker at industry user conferences, and conducts data warehouse courses internationally.

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Michael L. Gonzales
Parution	27/02/2003
Nb. de pages	674
Format	18,5 x 23,5
Couverture	Broché
Poids	1035g
Intérieur	Noir et Blanc
EAN13	9780471133056
ISBN13	978-0-471-13305-6