Autogenerating a process data warehouse

Speaker(s)Kennie Pontoppidan 

Duration: 60 minutes

Track: Svend

In many data warehouses we model fact tables with measures based on attributes which we can count and do arithmetic upon. It is more difficult to handle fact tables with measures based on length of intervals of events happening in the source systems. So questions like "What are the typical waiting times in our order process?" are seldomly modelled in the data warehouse. Especially if the event data comes from different source systems. 

In this talk I will show you how Rehfeld has overcome this difficult problem using an autogenerated datawarehouse based on metadata on the objects in the EDW/DM layers. In this approach you can autogenerate the process data warehouse if only you have the timestamps present in the EDW layer and are able to correlate them. The talk will consist of slides and demos.


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