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

More Date and Time Considerations

From the earliest chapters in this book we’ve discussed the importance of having a verbose date dimension, whether at the individual day, week, or month granularity, that contains descriptive attributes about the date and private labels for fiscal periods and work holidays. In this final section, we’ll introduce several additional considerations for dealing with date and time dimensions.

Country-Specific Calendars as Outriggers

If the DW/BI system serves multinational needs, you must generalize the standard date dimension to handle multinational calendars in an open-ended number of countries. The primary date dimension contains generic calendar attributes about the date, regardless of the country. If your multinational business spans Gregorian, Hebrew, Islamic, and Chinese calendars, you would include four sets of days, months, and years in this primary dimension.

Country-specific date dimensions supplement the primary date table. The key...