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Return to Keynote Address 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. ![]() ©2006 Association for Computing Machinery |