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The Data Warehouse Toolkit

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
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The Data Warehouse Toolkit

The Data Warehouse Toolkit

By: Ralph Kimball, Margy Ross

Overview of this book

The volume of data continues to grow as warehouses are populated with increasingly atomic data and updated with greater frequency. Dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The goal of this book is to provide a one-stop shop for dimensional modeling techniques. The book is authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence. The book begins with a primer on data warehousing, business intelligence, and dimensional modeling, and you’ll explore more than 75-dimensional modeling techniques and patterns. Then you’ll understand dimension tables in-depth to get a good grip on retailing and moved towards the topics of inventory. Moving ahead, you’ll learn how to use this book for procurement, order management, accounting, customer relationship management, and many more business sectors. By the end of this book, you’ll be able to gather all the essential knowledge, practices, and patterns for designing dimensional models.
Table of Contents (31 chapters)
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1
Cover
2
Title Page
3
Copyright
4
About the Authors
5
Credits
6
Acknowledgements
29
Index
30
Advertisement
31
End User License Agreement

5
Procurement

We explore procurement processes in this chapter. This subject area has obvious cross-industry appeal because it is applicable to any organization that acquires products or services for either use or resale.

In addition to developing several purchasing models, this chapter provides in-depth coverage of the techniques for handling dimension table attribute value changes. Although descriptive attributes in dimension tables are relatively static, they are subject to change over time. Product lines are restructured, causing product hierarchies to change. Customers move, causing their geographic information to change. We’ll describe several approaches to deal with these inevitable dimension table changes. Followers of the Kimball methods will recognize the type 1, 2, and 3 techniques. Continuing in this tradition, we’ve expanded the slowly changing dimension technique line-up with types 0, 4, 5, 6, and 7.

Chapter 5 discusses the following concepts:

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The Data Warehouse Toolkit
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