fabric-iq
Episode 1: Build a retail ontology in Microsoft Fabric, step by step
Hands-on lab: set up a Fabric workspace, load 17 CSVs into a lakehouse and build a 15-entity ontology and graph by hand, then preview an AI agent answering from it.
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fabric-iq
Hands-on lab: set up a Fabric workspace, load 17 CSVs into a lakehouse and build a 15-entity ontology and graph by hand, then preview an AI agent answering from it.
fabric-iq
A semantic model already knows how your tables connect. Fabric IQ can read that and hand you an ontology in one click. This walkthrough builds a hospital ontology that way, then does the four things the generator cannot do for you: the keys, the relationship bindings, the time-series binding, and the meaning.
fabric-iq
Part 1 left a pipeline scoring every truck reading against each batch's own safe band. Part 2 gives that data meaning an agent can traverse, asks it which batches are in trouble in plain language, and sets a watcher on it that recommends action in Teams.