Mastering Data Warehouse Design: Relational and Dimensional Techniques

* A cutting-edge response to Ralph Kimball’s challenge to the data warehouse community that answers some tough questions about the effectiveness of the relational approach to data warehousing
* Written by one of the best-known exponents of the Bill Inmon approach to data warehousing
* Addresses head-on the tough issues raised by Kimball and explains how to choose the best modeling technique for solving common data warehouse design problems
* Weighs the pros and cons of relational vs. dimensional modeling techniques
* Focuses on tough modeling problems, including creating and maintaining keys and modeling calendars, hierarchies, transactions, and data quality

From the Back Cover
At last, a balanced approach to data warehousing that leverages the techniques pioneered by Ralph Kimball and Bill Inmon

Since its groundbreaguide inception, the approach to understanding data warehousing has been split into two mindsets: Ralph Kimball, who pioneered the use of dimensional modeling techniques for building the data warehouse, and Bill Inmon, who introduced the Corporate Information Factory and leads those who believe in using relational modeling techniques for the data warehouse. Mastering Data Warehouse Design successfully merges Inmon

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