Book Image

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
5 (1)
Book Image

The Data Warehouse Toolkit - Third Edition

5 (1)
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)
Free Chapter
Title Page
About the Authors
End User License Agreement


This chapter covered a lengthy laundry list of topics in the context of the order management process. Multiples were discussed on several fronts: multiple references to the same dimension in a fact table (role-playing dimensions), multiple equivalent units of measure, and multiple currencies. We explored several of the common challenges encountered when modeling header/line transaction data, including facts at different levels of granularity and junk dimensions, plus design patterns to avoid. We also explored the rich set of facts associated with invoice transactions. Finally, the order fulfillment pipeline illustrated the power of accumulating snapshot fact tables where you can see the updated status of a specific product or order as it moves through a finite pipeline.