Beyond the Ontology: How the Rest of Fabric IQ Turns Meaning into Action

Yesterday we went deep on Fabric IQ’s Ontology—the shared vocabulary that teaches Microsoft Fabric how your business actually talks. Today we’ll zoom out to everything else: the graph that lets insights travel across relationships, the agents that answer questions and watch your operations in real time, and the governance and integration that make it usable at scale.

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From Tables to Meaning: A Deep Dive into Microsoft Fabric IQ’s Ontology (Preview)

AI agents don’t fail for lack of data—they fail for lack of meaning. Microsoft Fabric IQ’s new ontology capability tackles that head‑on by modeling the business concepts, relationships, and rules that live across your estate, then binding them to live data so agents (and people) can ask better questions and take smarter action.

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Start With Meaning: Elevating the Ontological Layer Above Your Semantic Layer

Your metrics are only as reliable as your nouns. If “customer,” “order,” or “revenue” shift between teams or tools, analytics becomes negotiation instead of decision. The way out is to put meaning first—an ontological layer that anchors everything—and then let the semantic layer deliver that meaning at speed and scale.

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SQL Server 2025 at Ignite: Why This Release Matters—and What to Do Next

In brief: SQL Server 2025 is generally available with built‑in AI, major developer conveniences, sturdier performance/availability behaviors, and licensing/edition changes that lower the cost of entry. Below I frame the release around three themes—AI + developer experienceperformance + resilience, and product/edition shifts—and close with concrete first steps you can act on today.

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