By promoting data stewardship and ownership by domain experts, using a common set of tools and semantic definitions, your entire organization will be empowered to create data products at scale.

In this landscape, a logical abstraction or semantic data model separates the modeling layer from the physical data realm. The Semantic Model utilizes data entities provided as data products.

Lastly, unlike relational data models that require us to anticipate all the data we will need to accommodate in advance, the semantic data model can be defined as the data arrives. This allows new ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

The semantic layer is still an emerging technology, but it will clearly play an important role in the evolution of the modern data stack.

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT.

Element Analytics Inc., maker of a semantic data platform for use in industrial settings, today announced the availability of its Unify data management platform on Microsoft Corp.’s Azure ...