I would tend to utilize a normalized data structure for my data warehouse. The biggest exception would be if some in the user community are going to access the data directly from the data warehouse. Then I might consider a star as well.
A couple of preliminary points. First, let me use the term, central data warehouse (CDW), to describe the main database within the data warehouse. Second, there will be multiple levels of data in the overall warehouse architecture, going from base (and fairly normalized) data to highly summarized (and more denormalized) data. Third, aggregated data is naturally dimensional. Fourth, the term normalized means to produce a non-redundant structure; it does not force you to go back to the operational level of detail. Fifth, any time you flatten data, you compromise it in some way, however slightly.
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