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


In Chapter 3: Retail Sales, we developed a dimensional model for the sales transactions in a large grocery chain. We remain within the same industry in this chapter but move up the value chain to tackle the inventory process. The designs developed in this chapter apply to a broad set of inventory pipelines both inside and outside the retail industry.

More important, this chapter provides a thorough discussion of the enterprise data warehouse bus architecture. The bus architecture is essential to creating an integrated DW/BI system. It provides a framework for planning the overall environment, even though it will be built incrementally. We will underscore the importance of using common conformed dimensions and facts across dimensional models, and will close by encouraging the adoption of an enterprise data governance program.

Chapter 4 discusses the following concepts:

  • Representing organizational value chains via a series of dimensional models
  • Semi-additive facts
  • Three...