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Agile BI/DW - Aalborg 2009

Daniel Fagerström discusses the application of agile methodologies in business intelligence and data warehousing projects. He emphasizes the importance of delivering early, reducing risks, and enhancing transparency and efficiency through practices such as agile planning, user story development, and continuous deployment. Key aspects include architectural models, ETL processes, user involvement, and maintaining a flexible approach to data management.

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Agile BI/DW Daniel Fagerström [email_address]
Experience Used agile methods 10 years
Developed BI/DW 5 years
Led large BI/DW project during last year using Scrum
Database lead at alaTest.com
Why agile? Deliver early
Reduce risk
Make the project steerable and transparent
Make development efficient and fun
How?
Just follow the book? Yes, but …
What are the user stories?
Agile DB practices?
Agile operations?
Overview Before starting
Project cycles
Agile planning
Agile DB practices
Agile operations
Before the project Introduce agile methods while selling
Agile architecture, dimension models
Agile estimation based offering
Sprint 0 Collocation (set up team room)
Appropriate HW, SW, test server
Involve operations

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Agile BI/DW - Aalborg 2009