1. Agile
Agile Analytics: A Value-Driven …
Ken W. Collier
Agile Data Warehouse Design: Collaborative …
Analytics
Data Modeling Made Simple: A Practical …
Win with Advanced Business Analytics: …
› Jean-Paul Isson
Big Data, Big Analytics: Emerging Business …
› Michael Minelli
·

2. Managers and Decision Makers
The Kimball Group Reader: Relentlessly …
› Ralph Kimball
Business Analytics for Managers: Taking …
› Gert H. N. Laursen
Big Data
Taming The Big Data Tidal Wave: Finding …
› Bill Franks
Big Data, Big Analytics: Emerging Business …
› Michael Minelli
Vendor Books

3. 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, Warren Thornthwaite, and Ralph Kimball
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.
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
Patterns of Data Modeling
By Michael Blaha
Published on 2010-05-28
This is one of the first books to apply the popular patterns perspective to
database systems and the data models that are used to design state-of-the-art,
efficient database systems.

4. 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.
Database Modeling and Design: Logical Design, 5th Edition
By Toby J. Teorey, Sam S. Lightstone, Tom Nadeau, and H. V. Jagadish
Published on 2011-02-24
A practical data modeling book, covering topics from Entity Relationship Model
to UML to conceptual/logical/physical data model design. This is an excellent
book for anyone who plans to be part of a data warehousing team.
Data Modeling Made Simple: A Practical …
Data Warehouse/ETL
The Data Warehouse Toolkit: The Complete Guide To Dimensional
Modeling (2nd Edition)
By Ralph Kimball and Margy Ross
Published on 2002-04-26
This book presents an introduction to dimensional modeling, and
provides dimensional model examples in many verticals such as retail,
telecommunications, ecommerce. There is also an overview on data
warehousing project lifecycle. A must-own book for anyone who is
interested in understanding the data modeling aspect of data
warehousing.
Building The Data Warehouse
By Bill Inmon
Published on 2005-10-07
This book by "Father of Data Warehouse" Bill Inmon covers many aspects of
data warehousing, from technical considerations to project management issues
such as ROI. This is the perfect book for everyone involved in a data
warehousing project, from project managers to architects to engineers.

5. Agile Data Warehouse Design: Collaborative …
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.
The Data Warehouse Lifecycle Toolkit, 2nd Edition
By Ralph Kimball, Margy Ross, Warren Thornthwaite, and Joy Mundy
Published on 2008-01-10
This sequel to the classic Data Warehouse Lifecycle Toolkit book provides
nearly 40% of new and revised information. A must have for anyone in the
data warehousing field.
OLAP
OLAP Solutions: Building Multidimensional Information Systems
By Erik Thomsen
Published on 2002-04-15
The second edition of this popular OLAP book discusses OLAP technology,
implementation, and examples in a thorough and vendor-neutral manner. Highly
recommended for anyone interested in understanding the intricacies of OLAP.
Joe Celko's Analytics and OLAP in SQL
By Joe Celko
Published on 2006-07-24
SQL language expert Joe Celko shows data warehousing professionals how to
use SQL to perform OLAP, ETL, and data mining tasks.

6. A Manager's Guide To Data Waraehousing
By Laura Reeves
Published on 2009-05-06
This book helps business and IT managers understand the value of a data
warehouse and offers practical ways on how they can ensure a successful data
warehousing project.
The Data Warehouse Mentor: Practical …
Business Intelligence
Successful Business Intelligence: Secrets to Making BI a Killer App
By Cindi Howson
Published on 2007-11-26
For an organization to successfully leverage its investment in business
intelligence, simply having the best technical infrastructure is not enough. Other
factors, such as provider the right users with the right tools, having an
organization setup that is built to take advantage of the BI insight, are also very
important. This book looks at real-life examples to tell us what makes for a
successful BI investment.
Business Intelligence For Dummies
By Swain Scheps
Published on 2008-01-10
Discusses Business Intelligence usage, typical BI lifecycle, and BI
implementation efforts. This book is aimed at people who are new to the area of
business intelligence.
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

7. alignment strategies that help prioritize business requirements, build
organizational and cultural strategies, increase IT efficiency, and promote user
adoption.
Data Virtualization for Business Intelligence …
Rick van der Lans