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

11
Telecommunications

This chapter unfolds a bit differently than preceding chapters. We begin with a case study overview but we won’t be designing a dimensional model from scratch this time. Instead, we’ll step into a project midstream to conduct a design review, looking for opportunities to improve the initial draft schema. The bulk of this chapter focuses on identifying design flaws in dimensional models.

We’ll use a billing vignette drawn from the telecommunications industry as the basis for the case study; it shares similar characteristics with the billing data generated by a utilities company. At the end of this chapter we’ll describe the handling of geographic location information in the data warehouse.

Chapter 11 discusses the following concepts:

  • Bus matrix snippet for telecommunications company
  • Design review exercise
  • Checklist of common design mistakes
  • Recommended tactics when conducting design reviews
  • Retrofitting existing data structures
  • Abstract...