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

Packaged Analytic Solutions and Data Models

Many organizations purchase a vendor solution to address their operational HR application needs. Most of these products offer an add-on DW/BI solution. In addition, other vendors sell standard data models, potentially with prebuilt data loaders for the popular HR application products.

Vendors and proponents argue these standard, prebuilt solutions and models allow for more rapid, less risky implementations by reducing the scope of the data modeling and ETL development effort. After all, every HR department hires employees, signs them up for benefits, compensates them, reviews them, and eventually processes employee separations. Why bother re-creating the wheel by designing custom data models and solutions to support these common business processes when you can buy a standard data model or complete solution instead?

Although there are undoubtedly common functions, especially within the HR space, businesses typically have unique peculiarities...