Fabric Data Agent Parv Chana
22 contributions
📄 Articles
Jan 1, 2026
Chat with your data using Microsoft Fabric data agents
Chat with your data using Microsoft Fabric data agents A Microsoft Fabric data agent enables natural interaction with your data by allowing you to ask questions in plain English and receive structured, human-readable responses. By eliminating the need to understand query languages like SQL (Structured Query Language), DAX (Data Analysis Expressions), or KQL (Kusto Query Language), the data agent makes data insights accessible across the organization, regardless of technical skill level.
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.
Jan 1, 2026
Data Agent in Microsoft Fabric – Here’s How it Works by Azure Ops
Data Agent in Microsoft Fabric – Here’s How it Works Ever wished you could just ask your data questions in plain English and get instant, intelligent answers? With Microsoft Fabric’s new Data Agent, that’s not just possible, it’s powerful. In this post, I’ll walk you through how I built a Fabric Data Agent on top of the standard AdventureWorksDW dataset, and how you can too, even if you’re a complete beginner.
May 13, 2026
Data Agent Now Supports Eventhouse Functions, Materialized Views, and Shortcuts (Preview)
New capabilities in Fabric Data Agent are now available to expand what's possible when data agent is integrated with Eventhouse KQL Databases. Data Agent now supports Eventhouse User Defined Functions (UDFs), Materialized Views (MV), and Shortcut tables enabling your AI-powered agent access to the full breadth of your Eventhouse KQL database.
Mar 31, 2025
Implementing Data Agent in Microsoft Fabric for comprehensive business insights
Leveraging the semantic model for business insights The semantic model in Microsoft Fabric plays a crucial role in transforming raw data into meaningful business insights. By accessing the semantic model, Data Agent can understand and interpret complex data relationships, providing a unified view of the data that aligns perfectly with current reporting and analytical needs.
Mar 26, 2026
Fabric Data Agents: The Shift from Querying Data to Reasoning Over Knowledge
What’s the big deal? Fabric is no longer just a data platform. It’s becoming a system that can reason over enterprise knowledge. The real shift is the move from human-authored to AI-authored logic, under guardrails. Before Humans write explicit queries, design semantic models, orchestrate pipelines. Tools act as passive executors, doing exactly what they are told. Now Humans declare the intent. Agents determine the plan (how to answer) and execute across governed data, semantic and orchestration layers.
Aug 12, 2025
Microsoft Fabric Data Agent — Complete Guide by Alpa Buddhabhatti
Unlock natural language access to your enterprise data with Microsoft Fabric Data Agent.
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 18, 2026
Best Practices for Data Agents in Microsoft Fabric
A deep dive into building and leveraging Data Agents within Microsoft Fabric — AI-powered autonomous systems that integrate with Fabric's lakehouse, warehouses, and semantic models to intelligently query, transform, and analyze data using natural language. This session will explore how Fabric's agent capabilities streamline data workflows and how to configure data agents with the right context to improve accuracy and reliability.
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 16, 2026
Fabric Data Agents Series (1/4): From Queries to AI Reasoning in Microsoft Fabric
This session kicks off our 4-part series on Microsoft Fabric Data Agents, exploring a major shift in how we interact with data — from writing queries to AI-driven reasoning under governance. In Part 1, we break down what Fabric Data Agents are (and are not), how they fit into the Microsoft Fabric ecosystem, and how the agent reasoning loop plans and executes grounded, trustworthy answers across governed data. You’ll learn why this shift matters, how it impacts Power BI developers and data teams, and what it takes to move from prompt-level experimentation to system-level AI thinking. 🚀 This is your starting point to understanding how semantic models, architecture, and governance come together to enable reliable, explainable, and scalable AI-powered analytics. 👉 Stay tuned for Parts 2–4, where we dive deeper into design patterns, architecture, and operating Data Agents at scale. 👍 Like, comment, and subscribe for more deep dives on Microsoft Fabric, Power BI, and AI in data. #MicrosoftFabric #PowerBI #FabricDataAgents #AIinAnalytics #DataPlatform
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
May 29, 2026
Microsoft Fabric Data Agents LIVE Demo 🚀 | Real AI Use Cases Explained #vfpug
👉 Getting insights from your data shouldn’t feel like solving a puzzle. In this session, Jennifer demonstrates several Microsoft Fabric Data Agents in action, showcasing how conversational AI experiences can transform the way users interact with governed data. This session focuses on practical, real-world examples of how Fabric Data Agents enable users to ask questions naturally and receive grounded, trustworthy answers powered by Microsoft Fabric. 🎯 What you’ll learn: ✔️ How Fabric Data Agents work in real scenarios ✔️ Conversational access to governed enterprise data ✔️ AI-powered self-service analytics patterns ✔️ Practical Power BI and Microsoft Fabric integrations ✔️ Real-world approaches for delivering trusted AI experiences Whether you're a Power BI developer, Fabric practitioner, analyst, or architect, this session helps bridge the gap between AI concepts and real business value. 🚀 No AI background required — just curiosity about the future of data experiences.
Apr 23, 2026
Microsoft Fabric: How to use Data Agent Example Queries
Example Queries are THE key value differentiator between Microsoft Fabric Data Agents and all other RAG agents you can build, so let's dive into this topic with Bradley Ball, aka @SQLBalls , and look and how we can use them!
📅 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.
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.
Jun 25, 2026
Fabric Data Agents
Fabric data agents are now generally available in Microsoft Fabric, and they give teams a way to build conversational Q&A experiences over data sources like Power BI semantic models. But the real work is not just creating the agent. It is shaping the semantic model, instructions, examples, and feedback loop so the answers are robust. Which is why our next Wellington Power BI & Fabric User Group session is on Fabric data agents: what they are, where they fit, and how to get better results from them.
May 28, 2026
Less Puzzles, More Answers: Teach Your Data to Talk Back with Fabric Data Agents
Getting insights from your data shouldn’t feel like solving a puzzle. In this session, Jennifer will demo several Microsoft Fabric Data Agents so you can see them in action. This session is ideal for Power BI and Fabric practitioners who want to turn governed data into conversational, self‑service answers using real‑world AI patterns. No AI background required. Familiarity with Fabric or Power BI is helpful but not mandatory.
May 14, 2026
Operating & Architecting with Data Agents: Patterns, Risk, and Trust at Scale
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. Part 4 or 4: Design trusted, compliant conversational access to governed data. This workshop focuses on execution identity decisions, RLS/OLS enforcement, auditability, and using governance practices (including Purview alignment concepts) to prevent oversharing. Participants leave with a practical checklist for deploying agents safely across audiences.
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.