List of books to read for aspiring Business Intelligence (BI) Professionals

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  • 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