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.
Writing
Guides and build logs
Step-by-step builds and practical notes on Microsoft Fabric architecture, real-time intelligence workflows, Power BI modeling decisions, and lessons from building in public.
fabric-iq
Generate a Fabric IQ ontology from a Power BI semantic model
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 2: Give the pharma cold-chain monitor a brain in Microsoft Fabric IQ, the ontology and the two agents that answer and watch
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.
fabric-iq
Part 1: Build a live pharma cold-chain monitor in Microsoft Fabric Real-Time Intelligence, the Eventstream-to-KQL pipeline that scores every reading
A batch of insulin was ruined on a truck that never once got warm, and nobody noticed for three weeks. Part 1 builds the live half in Real-Time Intelligence, from CSV to a stream to a KQL layer that scores every reading against each batch's own safe band.
fabric-iq
Manually build an e-commerce ontology and data agent in Microsoft Fabric IQ
One out-of-stock desk, four orders that look like they're waiting but only two really are, and eight CSV files that each hold part of the answer. A step-by-step build of the Fabric IQ ontology, and the data agent that finally answers the question.