Book Image

The Data Warehouse Toolkit - Third Edition

By : Ralph Kimball, Margy Ross
5 (2)
Book Image

The Data Warehouse Toolkit - Third Edition

5 (2)
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

In this chapter we have introduced the key building blocks of the ETL system. As you may now better appreciate, building an ETL system is unusually challenging; the ETL system must address a number of demanding requirements. This chapter identified and reviewed the 34 subsystems of ETL and gathered these subsystems into four key areas that represent the ETL process: extracting, cleaning and conforming, delivering, and managing. Careful consideration of all the elements of the ETL architecture is the key to success. You must understand the full breadth of requirements and then set an appropriate and effective architecture in place. ETL is more than simply extract, transform, and load; it’s a host of complex and important tasks. In the next chapter we will describe the processes and tasks for building the ETL system.