Data Warehousing Books
Below is a list of 5 most recently-published books related to data warehousing. You can also view the books according to the following subject areas:
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
By Ralph Kimball and Margy Ross
Published on 2013-07-01
The third edition of Ralph Kimball's classic book. This edition covers everything from the basics of dimensional data warehouse design to more complex scenarios.
Oracle Warehouse Builder 11G R2: Getting Started
By Bob Griesemer
Published on 2011-04-27
This book talks about how to use Oracle Warehouse Builder 11G R2.
The Microsoft Data Warehouse Toolkit: With SQL Server 2008 R2 and the Microsoft Business Intelligence Toolset
By Joy Mundy
Published on 2011-03-08
This book explains how to build a data warehouse using the Microsoft SQL Server 2008 R2 and Office 2010 technology, including discussions on PowerPivot for Excel and SharePoint, Master Data Services, as well as updated capabilities of SQL Server Analysis, Integration, and Reporting Services.
Business Intelligence Strategy; A Practical Guide for Achieving BI Excellence
By John Boyer, Bill Frank, Brian Green, Tracy Harris, and Kay Van De Vanter
Published on 2010-11-01
Geared toward IT management and business executives seeking to excel in business intelligence initiatives, this practical guide explores creating business alignment strategies that help prioritize business requirements, build organizational and cultural strategies, increase IT efficiency, and promote user adoption.
Pentaho Kettle Solutions: Building Open Source ETL Solutions with Pentaho Data Integration
By Matt Casters, Roland Bouman, and Jos van Dongen
Published on 2010-09-01
This practical book is a complete guide to installing, configuring, and managing Pentaho Kettle. Get up to speed on Kettle basics and learn how to apply Kettle to create ETL solutions. Learn how to design and build every phase of an ETL solution.
Data Modeling, A Beginner's Guide
By Andy Oppel
Published on 2009-12-21
This book teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs.