Fabric Data Agent #microsoftfabric
9 items tagged with "microsoftfabric"
📄 Articles
Jan 9, 2026
Creating Data Agent in Microsoft Fabric — First Impression
To give you a bit of background on what this data agent is all about, think of it as your assistant that knows everything about your data. Just like you use ChatGPT, you can leverage LLM capabilities on your enterprise data and have conversations over your database.
Apr 2, 2026
Programmatically Retrieve Prep Data For AI Configuration of Semantic Models
For Power BI Copilot and Data agents with semantic models, you must use Prep Data for AI configuration to ground the responses in the context added in Prep for AI. In this blog, I will show you how you can use the Power BI remote MCP server to get the configuration.
🎬 Videos
Apr 3, 2026
Fabric Data Agents Explained: Building Secure, Data‑Grounded AI in Microsoft Fabric
In this episode of Fabric Tech Talk Fridays, host Swetha Mannepalli is joined by Microsoft MVP Mathias Halkjaer to explore Fabric Data Agents. Learn what data agents are, how they differ from copilots, and how they bring trustworthy, data‑grounded AI to Microsoft Fabric. Watch a full demo covering security and governance, grounding agents on enterprise data, integrating with Microsoft 365 Copilot and external APIs, orchestrating multiple agents, and building AI solutions that respect existing access controls. Ideal for data leaders, architects, and anyone starting their AI agent journey in Fabric.
Apr 26, 2026
Fabric Data Agents Series (2/4): Why Your Data Model Breaks AI in Microsoft Fabric
👉 If your data model isn’t solid, your AI won’t be either. In Part 2 of our Microsoft Fabric Data Agents series, we focus on the foundation that makes or breaks AI: your semantic model and data design. This session shows how to build AI-ready data foundations so Fabric Data Agents can deliver accurate, consistent, and trustworthy results — not hallucinations or ambiguity. 🎯 What you’ll learn: ✔️ Why naming conventions and clear definitions are critical for AI reasoning ✔️ How explicit measures improve consistency and trust ✔️ The role of star schema design in scalable AI analytics ✔️ Common failure modes that break Data Agents ✔️ Practical Fabric-native fixes to improve grounding quality Most AI projects don’t fail because of AI — they fail because of bad data modeling. This session gives you the frameworks to fix that. 🚀 Whether you're a Power BI developer, data engineer, or architect, this is your blueprint for moving from experiments → production-ready AI systems. 👉 Watch Part 1 to understand Fabric Data Agents fundamentals 👉 Continue with Parts 3 & 4 to master architecture and governance at scale 👍 Subscribe for more deep dives on Microsoft Fabric, Power BI, and AI-driven data platforms #MicrosoftFabric #PowerBI #DataModeling #FabricDataAgents #AIinAnalytics
May 8, 2026
Fabric Data Agents Series (3/4): How to Use Fabric Data Agents in Real Apps #vfpug
Understanding Data Agents is one thing… using them in real applications is another. In Part 3 of our Microsoft Fabric Data Agents series, we focus on how to actually implement and consume Data Agents in production scenarios. This session breaks down the most effective architectural patterns to bring Data Agents to life across different audiences — from business users to developers and enterprise systems. 🎯 What you’ll learn: ✔️ How Copilot experiences work with Fabric Data Agents ✔️ Building custom business Q&A applications ✔️ Enabling agent-to-agent workflows using MCP ✔️ Designing enterprise APIs with GraphQL + agent translation ✔️ How to choose between Data Agent APIs, MCP, and GraphQL based on your use case and risk profile This is where strategy meets execution — helping you move from experimentation → scalable, real-world AI solutions.
May 15, 2026
Fabric Data Agents Series (4/4): Governance Guide - Can You Trust Your AI? 🔐
In Part 4 of our Microsoft Fabric Data Agents series, we focus on the most critical aspect of AI adoption: governance, security, and trust. This session shows how to design compliant, secure, and auditable Data Agent experiences so your AI solutions don’t just work — they work responsibly at scale. 🎯 What you’ll learn: ✔️ Execution identity — understanding who the agent acts as ✔️ Enforcing Row-Level Security (RLS) and Object-Level Security (OLS) ✔️ Building auditability and traceability into AI workflows ✔️ Preventing data oversharing and leakage ✔️ Applying governance best practices aligned with Microsoft Purview concepts
📅 Events
Apr 23, 2026
Designing AI‑Ready Data Surfaces: Why Agents Expose Your Weak Spots
Part 2 or 4: Build the semantic and data foundations that make agents reliable. This workshop translates modeling best practices into agent-ready guidance: naming and definitions, explicit measures, star schema discipline, and how to prevent ambiguous data surfaces. Includes common failure modes and Fabric-native remediation strategies to improve grounding quality.
May 7, 2026
Part 3 / 4: Fabric Data Agent Architecture Patterns: Choosing the Right Consumption Path
Part 3 or 4: Explore the most common and successful architectural patterns for consuming Fabric Data Agents: native Copilot experiences, custom business Q&A apps, agent-to-agent developer workflows via MCP, and enterprise data APIs with optional agent translation. Learn how to choose between Data Agent API, MCP server, and GraphQL depending on your consumers and risk profile.
💼 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.