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Clickstream Data Warehousing [Paperback]

Mark Sweiger (Author), Mark R. Madsen (Author), Jimmy Langston (Author), Howard Lombard (Author)
4.7 out of 5 stars  See all reviews (6 customer reviews)


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Book Description

0471083771 978-0471083771 January 4, 2002 1st
The first, step-by-step guide to building Web-enabled data warehouses
The Web can be an incredibly rich source of customer data, and right now companies across industry sectors are hustling to get up and running with data warehouses capable of capturing the clickstream data from their Web sites. This allows companies to track exactly where a customer is going, or "clicking to," on their site in order to gain meaningful information about that customer's preferences. Following Ralph Kimball's The Data Webhouse Toolkit (0-471-37680-9) where he provides the blueprint, Clickstream Data Warehousing fills developers in on all the technical details that go into building a Web-enabled data warehouse. The authors review all key architectural and design issues that developers need to masterfully build a Webhouse using examples to illustrate key points.
Companion Web site features code examples from the book and links to related Web sites.


Editorial Reviews

From the Back Cover

"Clickstream Data Warehousing is a great read for the serious data warehouse designer grappling with clickstream data. With a clear style, the authors explain the intricacies of this important source of customer behavior data. They combine engineering knowledge of the clickstream with state-of-the-art dimensional data warehouse design techniques to produce a very useful book."
-Ralph Kimball, author of The Data Warehouse Toolkit and The Data Warehouse Lifecycle Toolkit

The Web is an incredibly rich source of business intelligence, and many enterprises are scrambling to build data warehouses that capture the knowledge contained in the clickstream data from their Web sites. By analyzing the user behavior patterns contained in these clickstream data warehouses, savvy businesses can expand their markets, improve customer relationships, reduce costs, streamline operations, strengthen their Web sites, and hone their business strategies. Whether you come from an e-business, Web architecture, or data warehouse background, this book gives you the integrated perspective necessary to create a successful clickstream data warehouse.

The first part of the book explains everything you need to know about the Web technology and IT infrastructure required to build a clickstream data warehouse. The second part of the book walks you through the process of designing and implementing a clickstream data warehouse, including:
* Planning, staffing, and managing the project
* Designing your clickstream data warehouse schema using the innovative meta-schema design template
* Picking the appropriate data warehouse software and storage subsystems to support your click-stream data warehouse
* Building the extract, transformation, and load (ETL) mechanism
* Delivering data to end users for analysis

The companion Web site features additional reference material, an interactive question and answer forum, additional articles and information on data warehousing topics, and links to related Web sites.

Wiley Computer Publishing
Timely. Practical. Reliable.

Visit our Web site at www.wiley.com/compbooks/
Visit the companion Web site at www.wiley.com/compbooks/sweiger/

About the Author

MARK SWEIGER is President and Principal of Clickstream Consulting, a boutique consultancy specializing in clickstream data warehouses and data warehouse education. He is a noted author on data warehousing and is a speaker at The Data Warehousing Institute.
MARK R. MADSEN is Vice President and Principal of Clickstream Consulting. He has held various high-level positions within IT organizations and technology vendors and has extensive experience in data warehousing and supply chain management.
JIMMY LANGSTON is a Senior Consultant at Clickstream Consulting, where he advises clients on optimal data warehouse architectures, implementation, multidimensional database design, database configuration, and performance tuning.
HOWARD LOMBARD is Chief Architect at Gazelle Consulting, Inc., a consultancy specializing in the design and implementation of large-scale data warehousing and business intelligence solutions.

Product Details

  • Paperback: 456 pages
  • Publisher: Wiley; 1st edition (January 4, 2002)
  • Language: English
  • ISBN-10: 0471083771
  • ISBN-13: 978-0471083771
  • Product Dimensions: 8.8 x 7.6 x 1.1 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #1,387,189 in Books (See Top 100 in Books)

 

Customer Reviews

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Average Customer Review
4.7 out of 5 stars (6 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

5 of 5 people found the following review helpful:
5.0 out of 5 stars First web DW book with serious technical detail, March 12, 2002
By A Customer
This review is from: Clickstream Data Warehousing (Paperback)
This is the first book on data warehousing and the web that actually goes into detail about web-based data. Instead of the obligatory chapter about fields in a server log and "what is a cookie", this book has several chapters of detailed explanation about web server data and the kinds of problems in it. One of the most useful sections describes the all the steps in the building of clickstream ETL. It also has a complete set of clickstream data models, although we already designed ours by the time I read the book.
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8 of 10 people found the following review helpful:
3.0 out of 5 stars Good on the surface, April 15, 2002
By 
P. Bannister (New York, NY United States) - See all my reviews
(REAL NAME)   
This review is from: Clickstream Data Warehousing (Paperback)
The book goes into a fair amount of detail on certain topics, like server log files, and the generalized architecture of modern web sites. However, it doesn't really drill into any detail on the issues that may come up, such as cookieless browsers, ideas for cleansing dirty URLs, and methodology issues (when do you not count a pageview?).

As for the construction of the warehouse itself, it does provide some good generalized schemas that you can use for ideas, but nothing that you couldn't dream up yourself with a few days on a project.

A good overview, but no substitute for on-the-job learning.

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3 of 3 people found the following review helpful:
5.0 out of 5 stars Complete and Detailed, March 29, 2002
By A Customer
This review is from: Clickstream Data Warehousing (Paperback)
This book is an excellent treatment of architecture and detail for constructing a clickstream data warehouse. There are useful examples and explanations of clickstream data, data warehouse design, hardware requirements, performance recommendations, and the ET&L process. The authors seem to take a no fear attitude in revealing problems and suggesting solutions.
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Inside This Book (learn more)
First Sentence:
No matter what kind of e-business you operate, one thing is clear: information systems dominate the enterprise. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
clickstream warehouse, activity fact table, clickstream processing, page dwell time, stream data warehouse, clickstream data warehousing, affiliated links, logical schema design, example event record, data warehouse schema, partition elimination, aggregate fact table, clickstream history, site traffic statistics, base fact table, data staging area, promotion dimension, geography dimension, page tagging, fact table rows, log file analysis tools, data warehouse project, unidentified users, aggregate navigation, server log data
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Host Geography, Referrer Geography, Common Log Format, Internet Explorer, Total Page Size, Ralph Kimball, Combined Log Format, Date of Last Revision, Measure Statistics, Page Bytes Transferred, Page End Time, Relationship Management, Internal Flag, Page Start Time, Referring Domain, Thu Aug, Time Hit Completed, Time Hit Received, Date Timestamp, Province California, Street Number, User Agent Name, Authuser Date, Business Objects, Eastern Region
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