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 ...

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 ...

Using a semantic layer platform, the embedded analyst can work inside the business domain team (the spoke) to create data models and data products for that domain.

Semantic models are structured representations of data that that add meaning and context to the raw information held in Fabric.

Big data and its democratization is responsible for demonstrating to organizations the practical value of semantics by enabling them to maintain and improve governance principles over unruly ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

This semantic layer has traditionally been something that results from the data modeling process often undertaken when an analytics team implements a business intelligence tool for the first time.

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