In non-compressed cubes, each measure can independently specify its own aggregate operator (SUM, AVG, COUNT, MIN, MAX) based on the measure's nature and business requirements. Compressed cubes store pre-aggregated data efficiently but lose this per-measure flexibility, typically using a single aggregation method. The non-compressed structure allows dimensional modeling tools to apply appropriate aggregations at query time.