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The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition 3rd Edition

4.7 4.7 out of 5 stars 675 ratings

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From the brand

Editorial Reviews

From the Inside Flap

The most authoritative and comprehensive guide to dimensional modeling, from its originators—fully updated

Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The Data Warehouse Toolkit is recognized as the definitive source for dimensional modeling techniques, patterns, and best practices.

This third edition of the classic reference delivers the most comprehensive library of dimensional modeling techniques ever assembled. Fully updated with fresh insights and best practices, this book provides clear guidelines for designing dimensional models—and does so in a style that serves the needs of those new to data warehousing as well as experienced professionals.

All the techniques in the book are illustrated with real-world case studies based on the authors' actual DW/BI design experiences. In addition, the Kimball Group's "official" list of dimensional modeling techniques is summarized in a single chapter for easy reference, with pointers from each technique to the case studies where the concepts are brought to life.

The third edition of The Data Warehouse Toolkit covers:

  • Practical design techniques—both basic and advanced—for dimension and fact tables
  • 14 case studies, including retail sales, electronic commerce, customer relationship management, procurement, inventory, order management, accounting, human resources, financial services, healthcare, insurance, education, telecommunications, and transportation
  • Sample data warehouse bus matrices for 12 case studies
  • Dimensional modeling pitfalls and mistakes to avoid
  • Enhanced slowly changing dimension techniques type 0 through 7
  • Bridge tables for ragged variable depth hierarchies and multivalued attributes
  • Best practices for Big Data analytics
  • Guidelines for collaborative, interactive design sessions with business stakeholders
  • An overview of the Kimball DW/BI project lifecycle methodology
  • Comprehensive review of extract, transformation, and load (ETL) systems and design considerations
  • The 34 ETL subsystems and techniques to populate dimension and fact tables

From the Back Cover

The most authoritative and comprehensive guide to dimensional modeling, from its originators--fully updated
Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of
The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The Data Warehouse Toolkit is recognized as the definitive source for dimensional modeling techniques, patterns, and best practices.
This third edition of the classic reference delivers the most comprehensive library of dimensional modeling techniques ever assembled. Fully updated with fresh insights and best practices,this book provides clear guidelines for designing dimensional models--and does so in a style that serves the needs of those new to data warehousing as well as experienced professionals.
All the techniques in the book are illustrated with real-world case studies based on the authors' actual DW/BI design experiences.In addition, the Kimball Group's "official" list of dimensional modeling techniques is summarized in a single chapter for easy reference, with pointers from each technique to the case studies where the concepts are brought to life.
The third edition of
The Data Warehouse Toolkit covers:
  • Practical design techniques--both basic and advanced--for dimension and fact tables
  • 14 case studies, including retail sales, electronic commerce,customer relationship management, procurement, inventory, order management, accounting, human resources, financial services,healthcare, insurance, education, telecommunications, and transportation
  • Sample data warehouse bus matrices for 12 case studies
  • Dimensional modeling pitfalls and mistakes to avoid
  • Enhanced slowly changing dimension techniques type 0 through 7 
  • Bridge tables for ragged variable depth hierarchies and multivalued attributes
  • Best practices for Big Data analytics
  • Guidelines for collaborative, interactive design sessions with business stakeholders
  • An overview of the Kimball DW/BI project lifecycle methodology
  • Comprehensive review of extract, transformation, and load (ETL)systems and design considerations
  • The 34 ETL subsystems and techniques to populate dimension and fact tables

Product details

  • Publisher ‏ : ‎ Wiley; 3rd edition (June 21, 2013)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 600 pages
  • ISBN-10 ‏ : ‎ 1118530802
  • ISBN-13 ‏ : ‎ 978-1118530801
  • Item Weight ‏ : ‎ 2.15 pounds
  • Dimensions ‏ : ‎ 7.3 x 1.4 x 9.1 inches
  • Customer Reviews:
    4.7 4.7 out of 5 stars 675 ratings

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Customer reviews

4.7 out of 5 stars
4.7 out of 5
675 global ratings
Useful data warehousing book
3 Stars
Useful data warehousing book
This is an informative data warehousing reference by an expert. I am giving this book 3 stars since it contains too much repetition and unnecessary wordiness. The information could have been condensed to less than one-third of the size of this book while maintaining its utility.
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3.0 out of 5 stars Useful data warehousing book
Reviewed in the United States on March 28, 2023
This is an informative data warehousing reference by an expert. I am giving this book 3 stars since it contains too much repetition and unnecessary wordiness. The information could have been condensed to less than one-third of the size of this book while maintaining its utility.
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7 people found this helpful
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TeRe LS
5.0 out of 5 stars Imprescindible
Reviewed in Spain on August 2, 2023
Francesco La Gamba
5.0 out of 5 stars Completo, scritto da un professionista del settore
Reviewed in Italy on October 17, 2022
One person found this helpful
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SR
5.0 out of 5 stars Definitive guide for any Data Warehouse practioner
Reviewed in India on March 7, 2022
Client d'Amazon
4.0 out of 5 stars Article reçu endommagé
Reviewed in France on February 22, 2021
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Client d'Amazon
4.0 out of 5 stars Article reçu endommagé
Reviewed in France on February 22, 2021
L’article reçu était clairement abîmé. Au prix du livre cela est dommage.
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Luciano Martins dos Santos
5.0 out of 5 stars Livro de cabeceira para o profissional de BI.
Reviewed in Brazil on April 22, 2018
4 people found this helpful
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