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The latest edition of the single most authoritative guide on dimensional modeling for data warehousing!
Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques— the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball's classic guide is more than sixty percent updated.
The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including:
* Retail sales and e-commerce
* Inventory management
* Order management
* Customer relationship management (CRM)
* Human resources management
* Financial services
* Telecommunications and utilities
* Health care and insurance
By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
This book is also available as part of the Kimball's Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books:
The Data Warehouse Toolkit, 2nd Edition (9780471200246)
The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775)
The Data Warehouse ETL Toolkit (9780764567575)
Introduction to the Book.
Dimensional Modeling Primer.
Customer Relationship Management.
Human Resources Management.
Telecommunications and Utilities.
Building the Data Warehouse.
Present Imperatives and Future Outlook.
Posted April 9, 2012
Posted May 19, 2009
This is an excellent and wonderful book and it contains the details at data warehouse architect level. I use it extensively as a reference and also recommend to my juniors who like to learn data warehousing and techniques. The first three chapters are covers at very basic level. The remaining chapters cover more in depth, which covers details of dimensional modelling.
This book covers dimensional modelling for different industries under different discipline. So readers may find difficult to understand if they are not familiar with that industry. This is a good eye opener for those who want to know the dimensional modelling for the specific industry. Also, doing a project for a particular industry will help immensely in understanding the more detailed aspects of some chapters and hence fully understand the concepts.