Fabric Data Agent

Videos

Watch talks, demos, and tutorials about Microsoft Fabric Data Agents

How to use Data Agent Example Queries

Bradley Ball

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](https://www.youtube.com/@SQLBalls) , and look and how we can use them!

data-agent tsql few-shot example-queries accuracy

Speaker: Bradley Ball

Fabric Data Agents Series (2/4): Why Your Data Model Breaks AI in Microsoft Fabric

Jennifer Ratten

👉 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

data-agent semanticmode microsoftfabric howtodataagent learndataagent

Speaker: Jennifer Ratten

Microsoft Fabric: How to use Data Agent Example Queries

Bradley Ball

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](https://www.youtube.com/@SQLBalls) , and look and how we can use them!

data-agent tutorial how-to

Speaker: Bradley Ball

Best Practices for Data Agents in Microsoft Fabric

Sandeep Pawar

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.

data-agent how-to bestpractices

Speaker: Sandeep Pawar

Fabric Data Agents Series (1/4): From Queries to AI Reasoning in Microsoft Fabric

Jennifer Ratten

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

data-agent tutorial microosft-fabric

Speaker: Jennifer Ratten

Microsoft Fabricで考える非構造データのAI活用

Ryoma Nagata

このビデオは、G-Corporationの永田凌真氏によって紹介され、Microsoft Fabricエコシステム内で非構造データを活用するAIの活用に焦点を当てています。セッションでは、AI FunctionsやData Agentを含む最新のデータアーキテクチャとAI実装戦略について、技術的な詳細を深く掘り下げています English : This video, presented by Ryomaru Nagata from G-Corporation, focuses on leveraging AI for unstructured data within the Microsoft Fabric ecosystem. The session provides a technical deep dive into modern data architecture and AI implementation strategies, including AI Functions and Data Agent

data-agent unstructured-data ai-functions medallionarchitecture

Speaker: Ryoma Nagata

Configuring Fabric Data Agent to Accelerate Data to Decisions

Marc Bushong

In this session, attendees will explore how to build and configure a Fabric Data Agent from the ground up. We’ll walk through practical commands and functions while working with data sourced from a Lakehouse, review data source setup and sample queries, and showcase how easily a Fabric Data Agent can be incorporated into a multi-agent workflow using Microsoft Foundry.

foundry introduction setup lakehouse advanced

Speaker: Marc Bushong

Les Data Agents dans Microsoft Fabric

Akram Drid

Dans l’océan des données, voir clair change tout. Sur Phare Data, on décrypte les services de data, d’analytics et d’IA, avec un ton accessible, des choix techniques assumés, et toujours une touche d’air marin. Que vous soyez architecte, analyste, data engineer, product owner, ou simplement curieux, Phare Data vous accompagne pour comprendre les enjeux réels, éclairer les compromis et prendre de meilleures décisions et parfois avec le cri des mouettes en bruit de fond.

tutorial dataagent french introduction

Speaker: Akram Drid

Optimizing the Costs of Fabric Data Agents

Bas Land

In this video you will learn how to find the costs of Fabric Data Agents, by looking at the Fabric Capacity Metrics App.

optimization capacitymetricsapp

Speaker: Bas Land

Fabric Data Agent for Semantic Model

Greg Beaumont

This video reviews the new Semantic Model Fabric Data Agent that as been added to our free GitHub training repo with 275 million rows of real data. The new Semantic Model Data Agent can be added with a few simple steps, and then you can compare and contrast the Lakehouse and Semantic Model Data Agents.

semanticmodel setup

Speaker: Greg Beaumont

Wiring AI Agents to Enterprise Data with Azure AI Foundry + Fabric

Pablo's AI Corner

This demo shows one concrete way to design a multi-agent system using Azure AI Foundry and Microsoft Fabric.

foundry multi-agent advanced

Speaker: Pablo's AI Corner

Publish Data Agents Directly to Microsoft 365

Bradley Ball

It's here! Fresh off of Microsoft Ignite 2025 we can now publish Data Agents directly to Microsoft 365 and Bradley Ball, aka [‪@SQLBalls‬](https://www.youtube.com/@SQLBalls) , has got you covered! This is a super simple process and we will walk through how to publish, what the interface looks like, and how to share it with Microsoft Teams!

m365copilot

Speaker: Bradley Ball

Analyzing Microsoft Fabric Data using an Azure AI Foundry Agent

Ziggy Zulueta

In this Microsoft Reactor session, Ziggy demonstrates how to analyze Microsoft Fabric data using a Microsoft Foundry Agent and surface insights through a conversational AI experience. This is the third and final part of a series where we transform unstructured data—such as product reviews and customer call recordings—into actionable insights using Microsoft Fabric, Foundry Agent Service, and Power BI. You’ll learn how to: Create a Fabric Data Agent to query lakehouse data in plain English Connect Microsoft Foundry Agents to Fabric for secure enterprise data access Deploy your AI-powered agent to Microsoft Teams for internal collaboration Use sample queries and SQL generation for real-time insights Understand the architecture behind Fabric lakehouse, pipelines, and notebooks

foundry advanced

Speaker: Ziggy Zulueta

Microsoft Fabric の AI 機能デモ

Ryoma Nagata

このビデオは、Fabric の ミラーリング、ショートカット、AI 関数、データエージェントやCopilotに焦点をあてています。 データの統合にはじまり、AIを使用した顧客フィードバックの感情分析や、AIエージェントによるデータ分析をFabric上で行う方法を紹介します。 English :This video focuses on Fabric features such as Mirroring, Shortcuts, AI functions, Data Agents, and Copilot. It introduces how to start with data integration, use AI for sentiment analysis of customer feedback, and perform data analysis on Fabric with AI agents.

ai-function data-agent shortcut mirroring demo

Speaker: Ryoma Nagata

Connect Data Agents to Teams with Copilot Studio

Bradley Ball

You've built your Retrieval Augmentation Generation, or RAG, pattern Data Agent in Microsoft Fabric, but now you want to share it with your organization! How do you do that? Fear not! Bradley Ball aka [‪@SQLBalls‬](https://www.youtube.com/@SQLBalls) has got you covered! We walk through Microsoft Fabric creating the Data Agent, to Copilot Studio creating a connected Agent, to Publishing and approving in Teams!

dataagent copilotstudio teams

Speaker: Bradley Ball

Microsoft Fabric: Connect Data Agent to Azure AI Foundry

Bradley Ball

Data agent in Microsoft Fabric transforms enterprise data into conversational Q&A systems. It enables users to interact with their data through chat, to uncover actionable insights. One way to consume Fabric data agent is through Azure AI Agent Service, a core component of Azure AI Foundry and Bradley Ball, aka [‪@SQLBalls‬](https://www.youtube.com/@SQLBalls) , has got you covered!!

foundry advanced

Speaker: Bradley Ball

Extend Fabric Data Agents with Python SDK End to End Tutorial

Bradley Ball

Let's walk through and End to End tutorial for extending an existing Data Agent with Bradley Ball, aka [‪@SQLBalls‬](https://www.youtube.com/@SQLBalls). In this tutorial we will use the first two links to get and clone the GitHub repo and to use the code to substitute our questions for those hard coded in the tutorial. We also extend the tutorial to make a change to move from hard coded questions to a more interactive Q & A application!

dataagent pythonsdk evaluation

Speaker: Bradley Ball

Skip navigation fabric data agent Create Avatar image Turning Data into Insights with Copilot and Data Agents in Microsoft Fabric

Virginia Roman

We will explore AI functions in notebooks, which make it easy to apply enrichment such as summarization, sentiment analysis, and entity extraction with a single line of code. You will also see how AI-powered transforms on OneLake shortcuts can automatically process text files for summarization, translation, or PII detection without building pipelines. Finally, we will show how Data Wrangler provides an interactive way to clean and shape your data inside notebooks while generating reusable code. Through a live demo, you will see how these capabilities combine to help you deliver insights and intelligent features quickly for your hackathon project.

copilot

Speaker: Virginia Roman

How to Set Up Fabric Data Agents in Microsoft Fabric

David Alzamendi

Discover how to configure Fabric Data Agents to streamline and manage your data movement across environments in Microsoft Fabric. In this tutorial, we’ll guide you through the installation, setup, and key use cases for Data Agents, helping you connect to on-premises sources and automate secure data flows. Perfect for Fabric admins and data engineers looking to enable hybrid data scenarios with ease. Hi, I’m David, the Managing Director of Level Up Your Data based in Brisbane, Australia and a Microsoft Data Platform MVP. I am passionate about the positive impact data can have on our lives, businesses, world economies, and the environment and enjoy sharing my knowledge with you.

data-agent introduction

Speaker: David Alzamendi

Fabric Data Agents and Beyond

Mathias Halkjær

Explores the broader vision for Fabric Data Agents, including advanced use cases, multi-source data access, integration with Azure AI Agent Service, and how agents go beyond simple Q&A to enable enterprise-scale AI workflows.

advanced architecture azure-ai enterprise integration

Speaker: Mathias Halkjær

Microsoft Fabric Data Agents Explained

Guy in a Cube

From query to conversation — demonstrates setting up a Fabric Data Agent, connecting it to a Lakehouse, customizing prompts, and using chat-based analytics to extract insights from your data in real time.

demo lakehouse prompts analytics chat

Speaker: Guy in a Cube

Introduction to Microsoft Fabric Data Agents

Pragmatic Works

Covers what Fabric Data Agents are, how they use generative AI for Q&A over your data, prerequisites, setup process, connecting semantic models, and how to publish agents for broader use across Microsoft 365 Copilot and Teams.

introduction demo setup copilot semantic-model

Speaker: Pragmatic Works

Fabric Data Agents 101

Microsoft Fabric Community

A beginner-friendly walkthrough covering the fundamentals of Fabric Data Agents — what they are, how to set them up, and how to start querying your data using natural language.

beginner introduction getting-started data-agents

Speaker: Microsoft Fabric Community

Create your first Data Agent with SQL database in Fabric

Sukhwant Kaur

Learn to create low code/no code Data Agents in less than 5 minutes with SQL DB

sqldb introduction dataagent

Speaker: Sukhwant Kaur