Microsoft Fabric users will soon face more work to set up analytics workflows for new datasets, as Microsoft is retiring a feature that automatically creates semantic models on enterprise data.
Semantic models are structured representations of data that that add meaning and context to the raw information held in Fabric. When creating Fabric assets such as warehouses, lakehouses, or SQL databases, users can make their own semantic model — or use an automatically generated Default Semantic Model.
The default option, though, will soon go away by the end of this year, hurting enterprises using them for rapid prototyping or validating data structures, and any Default Semantic Models already created will become regular semantic models, that enterprises must explicitly manage and maintain for themselves, rather than relying on Microsoft’s automated processes.
