Cube, a startup offering a platform for companies to build 'semantic layers' for data, has raised new cash in an all-equity funding round.

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.

ClearStory makes use of semantic models to understand the contents of each data source and of domain specific languages and APIs to allow tremendous flexibility in both transforming data and in ...

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 ...

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

BOSTON, April 27, 2023 — AtScale, a leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer ...

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 ...

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 ...