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The Data Webhouse Toolkit: Building the Web-enabled Data Warehouse (Paperback)

by Ralph Kimball (Author), Richard Merz (Author) "Bringing the Web to the warehouse means bringing behavior to the warehouse ..." (more)

4.0 out of 5 stars See all reviews (2 customer reviews)

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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling by Ralph Kimball
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Product details

Paperback: 416 pages
Publisher: John Wiley & Sons (16 Feb 2000)
Language English
ISBN-10: 0471376809
ISBN-13: 978-0471376804
Product Dimensions: 23.2 x 19 x 2.4 cm

Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)

Amazon.co.uk Sales Rank: 229,440 in Books (See Bestsellers in Books)
Popular in this category:
#50 in Books > Computing & Internet > Databases > Data Storage & Management > Data Warehousing

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Product Description

Amazon.co.uk Review

In this groundbreaking work, authors and data warehousing visionaries Ralph Kimball and Richard Merz explore a next generation Web site architecture that exploits the unique nature of the Web's interactivity to dramatically improve an organisation's understanding of their relationship with users. The Data Webhouse Toolkit isn't a how-to manual; it is a high-level look at an ambitious new approach to system design.

The foundation of the concept of Webhouses is the "clickstream"--the plethora of information that can be gleaned if only a system can capture and accurately analyse all of the interaction (or lack of) that occurs between Web users and the sites they access. The authors take a careful look at all of the valuable details that are available in the clickstream and point out all of the complications in compiling this precious information from the various gathering points such as the user's machine, ISP and Web site.

A powerful case is made for the application of data warehousing and dimensional analysis to the clickstream to radically improve the strategic knowledge of customer motives and actions. While there are no real-life case studies yet to illustrate the concept, this book is bound to whet the appetite of many creative entrepreneurs and system architects. --Stephen W. Plain, Amazon.com

Topics covered: "Clickstream" concept, opportunities and barriers to information, Web site user tracking, clickstream driven decisions, clickstream data marts, user interface design, data mining, international concerns, scalability and project management.

William Schmarzo, Director World wide Solutions, sales, and marketing, IBM NUMA-Q

Ralph's latest book ushers in the second wave of the Internet ... Bottom line, this book provides the insight to help companies combine Internet-based business intelligence with the bounty of customer data generated from the Internet.

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Inside This Book (Learn More)

First Sentence
Bringing the Web to the warehouse means bringing behavior to the warehouse. Read the first page

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	41% buy the item featured on this page: The Data Webhouse Toolkit: Building the Web-enabled Data Warehouse 4.0 out of 5 stars (2) �40.38
	29% buy The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling 4.8 out of 5 stars (9) �25.12
	18% buy Microsoft Data Warehouse Toolkit: With SQL Server 2005 and the Microsoft Business Intelligence Toolset 4.7 out of 5 stars (3) �21.09
	8% buy The Data Warehouse Lifecycle Toolkit 4.2 out of 5 stars (5) �21.44

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Customer Reviews

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2 of 2 people found the following review helpful:

3.0 out of 5 stars A good introductory book, 9 Jul 2002

By	"euricoborges" - See all my reviews

As with all his other books, Kimball made it simple. The Data Webhouse Toolkit is a book easy to read that gives us a fairy good introduction to the subject of web analysis. Nevertheless it could have been a more complete work. One of the most important and difficult step, as part of the ETL process, in any Clickstream Data Warehouse is the Clickstream Post-Processor. If you were buying this book you would expect to have the complete story. Kimball and Merz made this chapter almost just like a quick overview with a few guidelines. Not a very big help.
Some sentences in this book are not backed by more precise information. For instance: it's said that if a user is asked his/her personal details for no good reason he or she will lie in 50% of the cases. Well, no research study is mentioned to back up this information.
On the area were Kimball is an expert, he made it good. The Webhouse dimensions and fact tables are very well described, although there's already a few alternative schemas by other authors.
Overall, with a few week points, I consider it a good introductory book.

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3 of 4 people found the following review helpful:

5.0 out of 5 stars Complete webhouse survey, 5 Jun 2000

By A Customer

I really enjoyed this book, it's very well written. It contains good hints on how to add web analysis data to the data mart or data warehouse you are designing. The authors lead you through technicalities of web analysis and data warehouse design with easy explanations. Examples are provided, unfortunately no case study is available.

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