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
Title Page
About the Authors
End User License Agreement

ETL System Design and Development Process and Tasks

Developing the extract, transformation, and load (ETL) system is the hidden part of the iceberg for most DW/BI projects. So many challenges are buried in the data sources and systems that developing the ETL application invariably takes more time than expected. This chapter is structured as a 10-step plan for creating the data warehouse’s ETL system. The concepts and approach described in this chapter, based on content from The Data Warehouse Lifecycle Toolkit, Second Edition (Wiley, 2008), apply to systems based on an ETL tool, as well as hand-coded systems.

Chapter 20 discusses the following concepts:

  • ETL system planning and design consideration
  • Recommendations for one-time historic data loads
  • Development tasks for incremental load processing
  • Real-time data warehousing considerations