The Data Warehouse plays a central role in any BI solution: it's the back end upon which everything in the coming years will be created. It must be capable of being flexible in order to support the fast changes needed by today's business, but also with a well-know and well-defined structure in order to support the "engineerization" of its development process, making it cost effective. In this full-day session, we will discuss architectural design details and techniques, Agile Modeling, unit testing, automation, and software engineering applied to a Data Warehouse project.
The only way to do this is to have a clear idea of its architecture, understanding the concepts of measures and dimensions, and a proven engineered way to build it so that quality and stability can go hand-in-hand with cost reduction and scalability. This will allow you to start your BI project in the best way possible avoiding errors, making implementation effective and efficient, building the groundwork for a winning Agile approach, and helping you to define the way in which your team should work so that your BI solution will stand the test of time.