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Jim Stagnitto, Director of a2c Data Services Practice & Lawrence Corr, Data Warehouse Designer, Trainer and Author Present: 12/19/2013 Agile Data Warehouse Design: Collaborative Modeling from Whiteboard to Star Schema...

 

Agile Data Warehouse Design: Collaborative Modeling from Whiteboard to Star Schema is a step-by-step guide for capturing data warehousing/business intelligence (DW/BI) requirements and turning them into high performance dimensional models in the most direct way: by modelstorming (data modeling + brainstorming) with BI stakeholders. It describes BEAM✲, an agile approach to dimensional modeling, for improving communication between data warehouse designers, BI stakeholders and the whole DW/BI development team. BEAM✲ provides tools and techniques that will encourage DW/BI designers and developers to move away from their keyboards and entity relationship based tools and model interactively with their colleagues. The result is everyone thinks dimensionally from the outset! Developers understand how to efficiently implement dimensional modeling solutions. Business stakeholders feel ownership of the data warehouse they have created, and can already imagine how they will use it to answer their business questions.

 

Co-Author Jim Stagnitto, explains how the a2c IT consultants incorporate Agile Data Warehouse Design methodology into their everyday practice…

“A well-designed data warehouse delivers reliable information to users in a form that they can readily understand. It performs consistently and crisply, and extends gracefully to changes in source data and business reporting needs. To do so, it must reflect best technical design practices, and be thoughtfully tailored to the business processes that users wish to analyze and optimize. a2c consultants utilize a new and powerful agile method to design our clients’ data warehouses - called Business Event Analysis and Modeling (BEAM✲). The a2c team with BEAM✲ methodology allows end users to collaboratively and interactively model their own BI data requirements using non-technical, business friendly language, in a way that translates directly into proven contemporary data warehouse design patterns. The resultant data warehouse design is technically excellent, readily validated and prototyped, and perfectly aligned to their business processes - every time.

 

 

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