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Building the Data Warehouse (3rd Edition)
 
 
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Building the Data Warehouse (3rd Edition) [Paperback]

W. H. Inmon (Author)
3.7 out of 5 stars  See all reviews (16 customer reviews)


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There is a newer edition of this item:
Building the Data Warehouse Building the Data Warehouse 3.7 out of 5 stars (16)
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Book Description

0471081302 978-0471081302 March 15, 2002 3
The data warehousing bible updated for the new millennium

Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.



Editorial Reviews

Review

"...a clear and well thought out text?I would recommend it to anyone working in data management or considering setting up a data warehouse..." (Managing Information, 9 October 2002)

"?overall, this is a clear and well thought out text. I would recommend this to anyone working in data management or considering setting up a data warehouse?"(Managing Information, December 2002)

From the Back Cover

Learn the most recent advances in data warehousing technology from the "Father of Data Warehousing"

Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has become the bible of data warehousing-- the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate

information factory.

In this Third Edition, Inmon explains what a data warehouse is (and isn't), why it's needed, how it works, and how the traditional data warehouse can be integrated with new technologies, including the Web, to provide enhanced customer service and support. He also addresses the trade-offs between normalized data warehouses and dimensional data marts.

In addition, this unique overview of data warehousing reviews new subjects such as:
* Data warehousing techniques for customer sales and support, both online and offline
* Data warehousing for decision support, including data mining and exploration warehousing
* Adoption of near-line storage techniques to vastly increase the capacity and access speed of data warehouses
* Integration of data warehouses with ERP systems
* The unique requirements for supporting e-businesses, including the capturing and analysis of clickstream data

Product Details

  • Paperback: 356 pages
  • Publisher: Wiley; 3 edition (March 15, 2002)
  • Language: English
  • ISBN-10: 0471081302
  • ISBN-13: 978-0471081302
  • Product Dimensions: 9 x 7.4 x 1.1 inches
  • Shipping Weight: 1.4 pounds
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (16 customer reviews)
  • Amazon Best Sellers Rank: #1,805,047 in Books (See Top 100 in Books)

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Customer Reviews

16 Reviews
5 star:
 (6)
4 star:
 (4)
3 star:
 (3)
2 star:
 (1)
1 star:
 (2)
 
 
 
 
 
Average Customer Review
3.7 out of 5 stars (16 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

40 of 40 people found the following review helpful:
3.0 out of 5 stars Good Intro to Concepts and Benefits - Light on Tech, December 18, 2003
By 
This review is from: Building the Data Warehouse (3rd Edition) (Paperback)
Bill's books are good conceptual books aimed at explaining the Business Benefits and Overall Technical concepts that are fundamental to data warehousing. This book is a classic that people serious about Business Intelligence should read. HOWEVER - Inmon's technical details are light and sometimes generalized, whereas Kimball's books tend to be more nuts-n-bolts and include usable examples. I RECOMMEND (a) read Inmon for how BI environments should be built under ideal situations, (b) read Kimball (warehouse toolkit) for how to do an actual project. For Project Management and Infrastucture issues, read Kimball's "Warehouse Lifecycle Toolkit". (c) Read Inmon's Corp Information Factory to understand the BI architecture most companies try to build (whether they know it or not!), and (d) STOP wasting time comparing Inmon to Kimball - their paradigms are complimentary, not contradictory.
CHECK OUT "Data Warehousing Fundamentals" by Paulraj Ponniah - it covers concepts by Inmon, Kimball and other leading thinkers and is very useful when -planning projects, -working with management to explaing BI environments.
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53 of 58 people found the following review helpful:
2.0 out of 5 stars Inmon vs. Kimball????, December 27, 2003
This review is from: Building the Data Warehouse (3rd Edition) (Paperback)
The two approaches, Inmon and Kimball are complimentary. Kimball is not "BS" and "stupid" as stated by one reviewer. In fact, it is the PRACTICAL techniques and elegant SIMPLICITY that makes Kimball's work so valuable. Inmon is strong on theory, while Kimball is strong on the day-to-day tools required to build a useful and understandable decision support environment. This reviewer has observed many huge "pure Inmon" projects fail (and none observed succeeded) while all pure Kimball projects observed have thrived and exceeded expectations. Strong words, to be sure, but accurate to the reality observed by this reviewer. While the failures might be attributed to the particular technical teams and management groups, many of those same groups did succeed with a dimensional approach.

If you want to debate academics, read both authors and have at it. I have to actually deliver... on time or early and on budget or below. Thus, my rating reflects that reality. Give me Kimball. The techniques have worked for me (and teams of all sizes) since 1986 at many Fortune 100 and 500 clients.

Inmon provides a great perspective on the issues and on how to think about information management for decision support and this book provides some of his latest thinking on the topic. Kimball provides an excellent and proven way to get there in the real world.

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16 of 18 people found the following review helpful:
1.0 out of 5 stars Pedantic and sluggish, March 2, 2005
By 
This review is from: Building the Data Warehouse (3rd Edition) (Paperback)
I know the Inmon vs. Kimball thing has turned into something of a feud. Having owned the first and second edition of this particular book (the first edition is now more useful than ever hollowed out with a knife to hide jewelry) and having browsed through the third edition that a colleague purchased, I must say that the major change since the obscure first edition is that Inmon has now taken a much more defensive tone now that Kimball is out there presenting clear, concise and useful real-world concepts and implementation techniques and gathering followers. I also own Inmon's "Using the Data Warehouse", "Data Warehousing and the Zachman Framework", and "Exploration Warehousing" and the question that comes to mind most after reading through these books is why did I waste the money. The reading is difficult, not so much because the subject matter is difficult, but more because it seems to be dry theory and has little advice on how to actually design a real working data warehouse. When later, Kimball came out with his breakthrough book: "The Data Warehouse Toolkit", it all seemed conceptually so much simpler and straightforward.
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Inside This Book (learn more)
First Sentence:
We are told that the hieroglyphics in Egypt are primarily the work of an accountant declaring how much grain is owed the Pharaoh. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
living sample database, data warehouse record, global data warehouse, data warehouse environment, naturally evolving architecture, architected environment, nonkey data, time variancy, distributed data warehouse, simple contextual information, corporate data model, data warehouse level, granularity manager, local operational systems, public summary data, warehouse refreshment, existing systems environment, midlevel model, lightly summarized level, data warehouse data model, lightly summarized data, data warehouse processing, financial data warehouse, data warehouse administration, warehouse meta data
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Granularity Manager, Hong Kong, Main Street, New York, South America, Business Week, Far East, Wall Street Journal, Brit Eng, High Street, Abraham Feb-pres, Adams Jan-pres, Amber Auto, Anderson Jan-Jan, Appleby Jan-pres, Azimoff Jan-pres, Dow Jones, Victoria's Secret
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