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 Educational Analytic Opportunities

Many of the business processes described in earlier chapters, such as procurement and human resources, are obviously applicable to the university environment given the desire to better monitor and manage costs. Research grants and alumni contributions are key sources of revenue, in addition to the tuition revenue.

Research grant analysis is often a variation of financial analysis, as discussed in Chapter 7: Accounting, but at a lower level of detail, much like a subledger. The grain would include additional dimensions to further describe the research grant, such as the corporate or governmental funding source, research topic, grant duration, and faculty investigator. There is a strong need to better understand and manage the budgeted and actual spending associated with each research project. The objective is to optimize the spending so a surplus or deficit situation is avoided, and funds are deployed where they will be most productive. Likewise...