Product Description

* 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.

Product Details

• Amazon Sales Rank: #1131207 in Books
• Published on: 2003-01-10
• Original language: English
• Number of items: 1
• Binding: Paperback
• 640 pages

From the Back Cover
"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.

About the Author
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.

Customer Reviews

Great book - but a bit outdated
This book introduces us into the IBM view on data warehousing. It gives the reader an architectural overview on data warehousing. Moreover, it gives ample insight into project management of a data warehouse project. Amongst the subjects, one gets an idea on the roles within a project and how long a data warehouse project might take. Fortunately, this book is NOT a sales leaflet; instead it gives a balanced overview. Often real life situations are sketched to stress a certain point. The authors clearly know how data warehousing is undertaken in real life. The authors also show the IBM toolset. As this set is recently renewed (after the writing of the book) this part is somewhat outdated.

Dilettante's Guide to Data Warehousing and Data Mining
As the care taker and primary business user of the world's largest customer data warehouse I was astounded at the naivete of the author. This document is more of sales manual for IBM product rather than a fair revue of current technology, practices and successful data mining and data warehouse implementation. There is little to no discussion on the need of having skilled persons to manipulate the data direct in the warehouse as opposed to having to export data to some black box product like intelligent miner. The author fails to disclose that with most very large applications (one terabyte plus) that traditional tools won't work due to the need to export large volumes of data out of the warehouse environment. This book is wrong on many fronts.

Good book about IBM Tools
Good Book - This book explains data warehousing well from the perspective of using IBM tools to accomplish the task. A reviewer from Hoffman Estates, IL . says "Dilettante's Guide to Data Warehousing and Data Mining" Perhaps the person is talking about another book, and incorrectly describes this book thus incorrectly giving this book a low rating