Book Image

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
Book Image

The Data Warehouse Toolkit - Third Edition

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

Summary

Dimensional modeling is an iterative design process requiring the cooperative effort of people with a diverse set of skills, including business representatives. The design effort begins with an initial graphical model pulled from the bus matrix and presented at the entity level. The detailed modeling process drills down into the definitions, sources, relationships, data quality problems, and required transformations for each table. The primary goals are to create a model that meets the business requirements, verify the data is available to populate the model, and provide the ETL team with a clear direction.

The task of determining column and table names is interwoven into the design process. The organization as a whole must agree on the names, definitions, and derivations of every column and table in the dimensional model. This is more of a political process than a technical one, which requires the full attention of the most diplomatic team member. The resulting column names exposed...