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

Common Pitfalls to Avoid

Although we can provide positive recommendations about data warehousing and business intelligence, some readers better relate to a listing of common pitfalls. Here is our favorite top 10 list of common errors to avoid while building a DW/BI system. These are all quite lethal errors—one alone may be sufficient to bring down the initiative:

  • Pitfall 10: Become overly enamored with technology and data rather than focusing on the business’s requirements and goals.
  • Pitfall 9: Fail to embrace or recruit an influential, accessible, and reasonable senior management visionary as the business sponsor of the DW/BI effort.
  • Pitfall 8: Tackle a galactic multiyear project rather than pursuing more manageable, although still compelling, iterative development efforts.
  • Pitfall 7: Allocate energy to construct a normalized data structure, yet run out of budget before building a viable presentation area based on dimensional models.
  • Pitfall 6: Pay more attention to back...