Agile Data Warehousing
Changing requirements, dubious sources, surprising successes. DWH projects seem to be ideal candidates for agile methods. Unfortunately, it is not that simple. Fixed-price requirements, remote stakeholders, missing test cases and often the sheer size of the action point into a different direction. So can we indeed use agile techniques? And in what cases should we?
After recalling what makes DWH projects so special we dive into some concrete examples where a test- driven and backlog based agile approach really worked, even for fixed price projects. Next we look how this is connected to agile approaches like SCRUM, extreme Programming and agile project management (and yes, we’ll have a short look at the manifesto). The special focus here is on the inherent strengths and risks of both agile and classical thinking. With the agile core principles in mind, we finally turn back to the special aspects of DWH projects we discussed in the beginning and look at some quite different ideas of agile Data Warehousing, including Data Vault and Kanban.
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Christoph Seck works as a DWH Consultant for Reply Germany. He is in the IT Business for 22 years as trainer, developer, manger and architect – all the time involved with databases, information delivery and the connected project management. With SQL Server and its BI Stack he is working for 13 years.
He is cofounder and chapter leader of the German PASS chapter of Hannover and regular speaker at conferences and German PASS events on DWH topics and agile project management.
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