Features
- Cover Type: Paperback with 464 pages
- Published by: Wiley
- Edition: 2nd Edition April 26, 2002
- Written in: English
- ISBN 10 Number: 0471200247
- ISBN 13 Number: 978-0471200246
-
Book Dimensions:
9.2 x 7.2 x 1 inches
- Weighs: 1.5 pounds
Product Review
"this is the daddy of data warehousing process books. No other material available so concisely and precisely explains what is required from a data warehousing solutionthis is a great book" (
Enterprise Server Magazine, July 2002)
Product Description
Single most authoritative guide from the inventor of the technique.
- Presents unique modeling techniques for e-commerce, and shows strategies for optimizing performance.
- Companion Web site provides updates on dimensional modeling techniques, links related to sites, and source code where appropriate.
Reader ReviewsThere are a lot of data warehousing books out there that try to answer the question: 'Why'? Why data warehouses are needed to help businesses make better decisions - why the OLTP systems that run the business can't do this - and sometimes even why businesses ought to invest in data warehouses. These books were terrifically useful to us years ago, when we needed help (and scholarly footnotes) in our data warehouse project proposals. This book is not one of those - it is all about: How How to actually design and build a repository that will deliver real value to real people. In this reviewer's opinion, Ralph Kimball's many contributions related to the 'how' of data warehousing stand alone. An engineer wishing to jump-start his or her data warehouse education would need to read Ralph's Data Warehouse Toolkit first edition, his Data Webhouse Toolkit... a bunch of "Data Warehouse Designer" Intelligence Enterprise magazine articles... AND lurk on the Data Warehousing List Server...for a few years (all terrific resources - by the way) - in order to stockpile the knowledge that is crisply presented here. No shortcuts taken by the authors that I can spot: all of the toughest dimensional design issues that I've tripped on - and that I can remember surfacing on in discussion groups over the past few years - are addressed in this significantly updated text. Not all of the solutions are 'pretty' - but it is clear that they thoughtfully address the problem. This approach, in my opinion, instills student confidence - and lets us know that we are getting sound instruction - not dogma. The authors have been listening to and addressing the data warehouse community's 'pain' through periodicals and posts for years - but this book pulls these point solutions together very nicely. I learned a surprising number of really useful new techniques, and was genuinely enlightened by the 'Present Imperatives and Future Outlook' section. As in the first edition, there is minimal philosophical lecturing, and zero religion. Instead, we get generous helpings of real-world case studies - aptly applied to progressively more advanced series of design concepts. This style absolutely works for me. And I suspect that engineering mindsets typical of the folks that build these things will likely agree. In short, the Data Warehouse Toolkit Second Edition will significantly lighten the load of books that I carry between data warehouse engagements. Jim Stagnitto Llumino, Inc. www.llumino.com
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