The composition and size of our models is a critical element in ensuring both the proper functioning and performance of our models and the optimal use of the resources at our disposal.
Whether under shared or dedicated capacity, in imported mode, DirectLake or even DirectQuery, the space occupied by the model in memory is a factor that we must not neglect and on which applying good practices is indispensable.

Recommendations, strategies and best practices to ensure optimal sizing of our semantic models