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
1
Cover
2
Title Page
3
Copyright
4
About the Authors
5
Credits
6
Acknowledgements
29
Index
30
Advertisement
31
End User License Agreement

2
Kimball Dimensional Modeling Techniques Overview

Starting with the first edition of The Data Warehouse Toolkit (Wiley, 1996), the Kimball Group has defined the complete set of techniques for modeling data in a dimensional way. In the first two editions of this book, we felt the techniques needed to be introduced through familiar use cases drawn from various industries. Although we still feel business use cases are an essential pedagogical approach, the techniques have become so standardized that some dimensional modelers reverse the logic by starting with the technique and then proceeding to the use case for context. All of this is good news!

The Kimball techniques have been accepted as industry best practices. As evidence, some former Kimball University students have published their own dimensional modeling books. These books usually explain the Kimball techniques accurately, but it is a sign of our techniques’ resilience that alternative books have not extended the library...