The Fabric Ontology Is Ready, But Your Data Isn't

You’ve started modelling your enterprise in Fabric IQ. You’ve defined entities: Customer, Supplier, Asset. You’re building the ontology. And then you hit a wall: the data underneath doesn’t actually agree on who or what anything is.

The ontology problem nobody talks about.

With Fabric IQ, you have a proper semantic layer — a place to define what ‘Customer’ means across your entire enterprise, bind it to governed relationships, and let AI agents reason over it consistently. For teams building toward agentic AI, it’s a great enabler.

But here’s the thing Microsoft’s own documentation quietly acknowledges: before you bind data to your ontology, that data needs to be organised and ETL-ready. In practice, for most large enterprises, that prerequisite is the hardest part of the whole project.

In this webinar, Quantexa’s Michael Destein will show how Quantexa Unify can solve the data to ontology gap.