Fabric IQ: the ontology is now a workspace item and refresh has a price

The demo convinces, the workspace disagrees. In Microsoft Fabric the ontology is now a real item: a REST API, a definition in files and a child graph created on its own — and it is that child that issues the bill. This article gathers what the item really is, why every refresh is full and freshness became a cost decision, the four capacity meters, how far binding actually reaches, three points where the official documentation contradicts itself — and what has to be in place before switching this on in production.

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Federate, mirror, or ingest: the decision between Databricks and Fabric

Federating, mirroring, and ingesting are not synonyms — and in Fabric "mirroring" already means three different mechanisms. When to use Lakehouse Federation, when to mirror a catalog or a database into Microsoft Fabric, when to ingest with Lakeflow Connect, what is actually free, and why source permissions do not cross the OneLake boundary.

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AI FinOps beyond caching: how to choose Batch, Model Router, PTU, and pay-as-you-go

Prompt caching solves reuse, but it does not decide when to run, how to buy capacity, or which model should answer. A practical framework for combining Batch, PTU, pay-as-you-go, and Model Router around cost per approved task.

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Data ontology: the governed context that makes AI reason across Databricks and Fabric

The bottleneck of enterprise AI is not the model, it is governed business context. How Unity Catalog Metric Views, Genie Ontology and Fabric IQ form a single semantic layer over one copy of the data — with an FSI use case, cost model and roadmap.

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