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Agile Data Warehousing Project Management
Business Intelligence Systems Using Scrum
The only step-by-step guide to visualizing, building, and validating an agile enterprise data warehouse
Ralph Hughes (Author)
9780123964632, Elsevier Science
Paperback, published 10 December 2012
366 pages, 50 illustrations
23.4 x 19 x 2.3 cm, 0.77 kg
"Anyone who has worked on a data warehousing project knows that it can be a monumental undertaking. Agile Data Warehouse (sic) Project Management…offers up an approach that can minimize challenges and improve the chance of successful delivery." --Data and Technology Today blog, April 2013 "Hughes first began working with agile data warehousing in 1996 and received skeptical reactions up until at least six years ago. Having stuck with this approach throughout, he is now receiving a more and more favorable reception and here uses his expertise to deliver a thorough implementation guide." --Reference and Research Book News, December 2012
You have to make sense of enormous amounts of data, and while the notion of “agile data warehousing? might sound tricky, it can yield as much as a 3-to-1 speed advantage while cutting project costs in half. Bring this highly effective technique to your organization with the wisdom of agile data warehousing expert Ralph Hughes. Agile Data Warehousing Project Management will give you a thorough introduction to the method as you would practice it in the project room to build a serious “data mart.? Regardless of where you are today, this step-by-step implementation guide will prepare you to join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse.
Part I: A Generic Agile MethodChapter 1. Why Agile?Chapter 2. Agile Development in a NutshellChapter 3. Project Management LiteChapter 4. User Stories for Business Intelligence Applications Part II. Adapting Agile to Data WarehousingChapter 5. Developer Stories for Data Integration ProjectsChapter 6. Agile Estimation for DW/BIChapter 7. Further Adaptations for Agile Data WarehousingChapter 8. Starting and Scaling Agile Warehousing Teams Part III. RetrospectiveChapter 9. Faster, Better, Cheaper
Subject Areas: Data warehousing [UND], Database programming [UMT]
