Fabric Data Agent #fabricdataagents
4 items tagged with "fabricdataagents"
đź“„ Articles
Mar 26, 2026
Ontologies: What Do I Mean vs What Do I Want?
The article argues that prompt‑heavy approaches to natural language querying are fundamentally brittle because they force LLMs to manage meaning, preference, and logic simultaneously—something they are not designed to do, leading to ambiguity and inconsistency in enterprise analytics. It positions Fabric Data Agents as a more structured alternative, where instructions are deliberately scoped to behaviour and intent, while meaning is externalised—reducing the fragility seen in traditional prompt stacks. Fabric IQ is presented as the key enabler of this shift, providing ontologies as a first‑class semantic layer that lets agents move from inferring business meaning to reliably navigating explicit definitions, making natural language over enterprise data more consistent and scalable.
Apr 16, 2026
The GINO Crisis: How Ambiguous Models Break Humans and LLMs — and the Case for Kimball 2.0
This article focuses on good database schema design. It highlights an emerging anti-pattern (GINO - "Gold in Name Only") whereby data engineering teams have "polished up" bronze data and moved it into Gold, with multi grain facts, normalised structures, outer joins etc, and left it to the Data Analyst to sort out. This is bad enough but it breaks when LLMs are brought in. The article then covers 6 straightforward techniques to simplify and optimise data models to increase success of NL2SQL platforms such as FDAs
đź“… Events
Apr 16, 2026
Designing Trusted Fabric Data Agents - Part 1
This four‑part series guides attendees through the intricacies of Microsoft Fabric Data Agents - from understanding how agents reason over data, to designing AI‑ready data foundations, selecting the right consumption architectures, and operating agents safely at scale. Participants will learn how to move beyond prompt‑level experimentation to system‑level thinking, how agent reasoning, semantic modeling, architectural patterns, and governance controls work together to produce reliable, explainable, and compliant AI‑driven outcomes. Each session builds on the last, equipping teams with practical frameworks, patterns, and checklists to confidently deploy Fabric Data Agents across diverse audiences while managing risk, trust, and performance. Part 1 or 4: A guided tour of why Fabric Data Agents represent a shift from human-authored queries to AI-authored execution logic under guardrails. Learn what a data agent is (and is not), how it fits into the Fabric ecosystem, and how the agent reasoning loop plans and executes grounded answers across governed Fabric artifacts.
đź’Ľ LinkedIn Posts
Mar 16, 2026
Conversational Analytics using Microsoft Fabric Data Agents(e2e tutorial)
This post explains how Microsoft Fabric Data Agents can help teams answer unexpected business questions in real time by turning natural business language into trusted, governed analytical answers. It highlights the common pressure data teams face in review meetings when metrics suddenly shift and shows how conversational analytics can work effectively only when built on approved data, definitions and guardrails.