In a datamart, data is typically denormalized rather than normalized. This approach is used to optimize query performance and simplify data retrieval for analytical purposes. Denormalization combines data from multiple tables into fewer tables, which can improve read efficiency and speed up reporting. However, the specific design may vary based on the requirements and use cases of the datamart.
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