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Informationen zum Autor Ralph Hughes, former DW/BI practice manager for a leading global systems integrator, has led numerous BI programs and projects for Fortune 500 companies in aerospace, government, telecom, and pharmaceuticals. A certified Scrum Master and a PMI Project Management Professional, he began developing an agile method for data warehouse 15 years ago, and was the first to publish books on the iterative solutions for business intelligence projects. He is a veteran trainer with the world's leading data warehouse institute and has instructed or coached over 1,000 BI professionals worldwide in the discipline of incremental delivery of large data management systems. A frequent keynote speaker at business intelligence and data management events, he serves as a judge on emerging technologies award panels and program advisory committees of advanced technology conferences. He holds BA and MA degrees from Stanford University where he studied computer modeling and econometric forecasting. A co-inventor of Zuzena, the automated testing engine for data warehouses, he serves as Chief Systems Architect for Ceregenics and consults on agile projects internationally. Klappentext Data warehousing involves making sense out of enormous amounts of data, and for most warehousing professionals the notion of ¿agile data warehousing¿ sounds risky but compelling. Agile data warehousing techniques yield as much as a 3:1 speed advantage while cutting project costs in half. Agile Data Warehousing Project Management aims to bring this crazy-sounding yet highly effective technique to the masses by providing a thorough introduction to the method as one would practice it in the project room to build a serious ¿data mart.¿ This step-by-step presentation will bring the novice to the point where they can join or even lead a team in visualizing, building, and validating a single component to an enterprise data warehouse. Zusammenfassung Offers an introduction to the method as you would practice it in the project room to build a data mart. This title helps to prepare you to join or lead a team in visualizing! building! and validating a single component to an enterprise data warehouse. It includes strategies for getting actionable requirements from a team's business partner. Inhaltsverzeichnis Part I: A Generic Agile Method Chapter 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 Warehousing Chapter 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. Retrospective Chapter 9. Faster, Better, Cheaper ...
Table des matières
Part I: A Generic Agile Method Chapter 1. Why Agile? Chapter 2. Agile Development in a Nutshell Chapter 3. Project Management Lite Chapter 4. User Stories for Business Intelligence Applications
Part II. Adapting Agile to Data Warehousing Chapter 5. Developer Stories for Data Integration Projects Chapter 6. Agile Estimation for DW/BI Chapter 7. Further Adaptations for Agile Data Warehousing Chapter 8. Starting and Scaling Agile Warehousing Teams
Part III. Retrospective Chapter 9. Faster, Better, Cheaper
Commentaire
"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
