AtScale at work I reported previously on AtScale 's efforts at assembling an array of data sets and, perhaps more important, conforming the data and building a semantic model around it.

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.

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 ...

Sajal Rastogi from Kyvos Insights explains why he thinks the use of GenAI and semantic layers is a gamechanger for ...

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

The model proposed try to solve the issue of understanding between heterogeneous data systems. Finally, the authors give an example of the semantic model application, which has been verified on ...

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 ...

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