Abstract

Although data warehouse modeling is an established branch within data warehouse research, there are still lots of opportunities for further work within this area. In this talk, I will first sketch major achievements and trends in conceptual data warehouse modeling and pinpoint open problems along the way. Afterwards, I will take a closer look at the overall design process, focus on the transformation of conceptual data warehouse schemata into logical ones, and argue that there still is a semantic gap between advanced conceptual data models and relational or multidimensional implementations, which needs to be bridged. Finally, I will turn to one specific aspect of the data warehouse lifecycle, namely schema changes, and highlight challenges in data warehouse schema versioning.

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