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

Dimensional Modeling Introduction

Now that you understand the DW/BI system’s goals, let’s consider the basics of dimensional modeling. Dimensional modeling is widely accepted as the preferred technique for presenting analytic data because it addresses two simultaneous requirements:

  • Deliver data that’s understandable to the business users.
  • Deliver fast query performance.

Dimensional modeling is a longstanding technique for making databases simple. In case after case, for more than five decades, IT organizations, consultants, and business users have naturally gravitated to a simple dimensional structure to match the fundamental human need for simplicity. Simplicity is critical because it ensures that users can easily understand the data, as well as allows software to navigate and deliver results quickly and efficiently.

Imagine an executive who describes her business as, “We sell products in various markets and measure our performance over time.” Dimensional...