The Data Warehouse Lifecycle Toolkit
Wiley, Nov 9, 2011 - Computers - 672 pages
A thorough update to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. In that time, the data warehouse industry has reached full maturity and acceptance, hardware and software have made staggering advances, and the techniques promoted in the premiere edition of this book have been adopted by nearly all data warehouse vendors and practitioners. In addition, the term "business intelligence" emerged to reflect the mission of the data warehouse: wrangling the data out of source systems, cleaning it, and delivering it to add value to the business.
Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. The authors understand first-hand that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system. You'll learn to create adaptable systems that deliver data and analyses to business users so they can make better business decisions.
With substantial new and updated content, this second edition of The Data Warehouse Lifecycle Toolkit again sets the standard in data warehousing for the next decade. It shows you how to:
The authors are members of the Kimball Group. Each has focused on data warehousing and business intelligence consulting and education for more than 15 years; most have written other books in the Toolkit series. Learn more about the Kimball Group and Kimball University at www.kimballgroup.com.
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Review: The Data Warehouse Lifecycle ToolkitUser Review - Bj - Goodreads
a great intro to dimensional modeling Read full review
Review: The Data Warehouse Lifecycle ToolkitUser Review - May - Goodreads
Recommended by client. For those informally trained in data structure, this is the book you need to put theory with what you're likely practicing professionally already. Read full review