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C14 - DB2 BLU Acceleration and the BaFin Analytic Data Warehouse

Topic: 2015 EMEA

Subtopic: DB2 for LUW



BaFin (Federal Financial Supervisory Authority) is the German equivalent to the US SEC/FED and operates in the public interest. Its primary objective is to ensure the proper functioning, stability and integrity of the German financial system. BaFin helps to ensure that bank customers, insurance policyholders and investors are able to trust the financial system.

Like many other enterprises, BaFin expects a dramatic increase of data volumes due to new government regulations and requirements in the near future. The old BaFin database design and infrastructure was targeting primarily Online Transaction Processing (OLTP) rather than an Analytic Enterprise Data Warehouse system and had limitations in terms of scaling and performance.

Thus BaFin was looking for a new design for the IT infrastructure as well as new database technology to handle the increased data volumes. A major focus is being laid on the out scaling architecture with the use of DPF for BLU.

All data in the enterprise data warehouse has the same importance, independent of the age of the data which is maintained and analyzed for ten years. Due the fact that each datum has the same importance, a classical design in which data is classified in hot, medium and cold areas is not possible.

Using DB2 BLU technology the IT department is able to deliver high speed queries for the BaFin analysts independent of the volume and age of the data. The new enterprise data warehouse supports the BaFin analysts in their investigative mission to find potentially illegal transactions extremely quickly, thereby helping to ensure the proper functioning, stability and integrity of the German financial system.



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