Build more efficient Data Warehouses via trial and error?
Evolution teaches us that Trial and Error can create extremely sophisticated, efficient and adaptable solutions. The Problem with using evolutionary principles for DW projects is that the loops of errors just take too much time and effort. In this sessions we want to demonstrate how the iterations of trial and error can be accelerated so that this approach becomes an extremely efficient option for data warehouse design and implementation.
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I'm a Data Warehouse consultant based in Germany (Europe) with over 6 years of experience in building and designing Data Warehouses based on the Microsoft platform. I'm part of the pmOne Solutions team supporting the largest Data Warehouse installations on SQL Server in the German speaking area (Germany, Austria and Switzerland).
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