Data Warehousing: Strategies, Technologies, and Techniques

Features

• Cover Type: Hard Cover with 485 pages
• Published by: McGraw-Hill Companies April 1996
• Written in: English
• ISBN 10 Number: 0070410348
• ISBN 13 Number: 978-0070410343
• Book Dimensions: 9.3 x 6.3 x 1.4 inches
• Weighs: 1.8 pounds

Product Review
Q1: What is data warehousing?
A1: Storing and organizing large quantities of data, formerly dispersed, for efficient and strategic usage.


Q2: Is data warehousing just a buzzword or a 90's fad?
A2: Only if you'd call Henry Ford's assembly lines a 20's buzzword or fad!


In fact, warehousing is likely to be the keystone (or, architecturally speaking, "foundation") of business information architecture in the 21st century.

Despite the flurry of books on data warehousing that I have seen this year (reminiscent of the onslaught of Internet books in 1995), this, as of August, is the most impressive data warehousing book yet. It provides an historical context of dispersed data systems, describes how to work with legacy architectures (and legacy turf wars within an organization), and demonstrates how to realistically plan the consolidation of data and streamline the "construction of the warehouse." It also has several lucid overview chapters on data mining, multidimensional analyses and neural nets, so that you can perform useful analyses of all the data your organization has been collecting for years!

Oh my Ford, Winston, this is good book indeed.

Book Description
Data warehouseing is key information management strategy for businesses that want to stay competitive into the next century. With this practical, information-packed sourcebook enterprise computing professionals will discover how to design and build an effective data warehousing system. Author Rob Mattison provides a well-organized, step-by-step plan and offers a valuable, vendor-independent examination of the available tools and products. He explains the key concepts of business process reengineering, client/server technology, systems architecture, online analytical processing (OLAP), and decision support systems (DS) that are critical to data warehousing.

Reader Reviews
This book is very good at explaining the do's and dont's of data warehouse construction. Rob Mattison gives good examples of the difference between traditional software development and data warehouse development. Mr. Mattison describes well the different approaches and designs that may be used when building a data warehouse. Not so well done are the chapters that are co-authored by persons who have a business stake in the products described in that chapter. Of course they describe their approach and product as being the "best" way to do something. Comment | | (Report this)