Mastering Data Warehouse Design
Relational and Dimensional Techniques
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Data warehousing is split into two camps: Ralph Kimball leads those who champion a technique called dimensional modeling; Bill Inmon leads the rest who believe in using relational modeling techniques. Written by one of the best-known exponents of the Inmon approach, this book provides a detailed, how-to guide to relational modeling of data warehouses.
_ 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
_ 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