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.

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

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.

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 ...

A semantic database is a set of interconnected resources, where each node (the starting and ending point of an arrow) is some kind of resource and each edge is a relationship.The graphs created by ...

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 ...

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

Metadata is increasingly driving semantic data modeling, said Suresh Nair, New York-based vice president and chief architect, financial services, at IT processing services company Mphasis, who was ...