Fabric Data Agent

#dataagent

19 items tagged with "dataagent"

đź“„ Articles

đź“„ article
data-marc.com

Jun 4, 2025

Automatically populate Data Agents with Semantic Model Synonyms

Automatically populate Data Agents with Semantic Model Synonyms, however note that synonyms are used by data agents. Excellent blog none the less on getting the data AI ready.

Author: Marc Lelijveld
đź“„ article
medium.com

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.

Author: alpa buddhabhatti

📚 Resources

📚 resource
github.com

Agentic App with Fabric (incl Data Agents)

Agentic Banking App is an interactive web application designed to simulate a modern banking dashboard. Its primary purpose is to serve as an educational tool, demonstrating: How SQL-based databases are leveraged across different types of workloads: OLTP, OLAP, AI workloads. How agile AI-driven analysis and insight discovery can be enabled via prescriptive data models in Fabric. How easy it is possible to integrate other Fabric workloads (e.g., Report, Data Agent, Notebook) leveraging that data model. Image Through a hands-on interface, users can see the practical difference between writing a new transaction to the database, running complex analytical queries on historical data, and using natural language to ask an agent to query the database for them.

Creator: Mehrsa Golestaneh
📚 resource
github.com

Hands On : Build a Direct Lake Model with Data Agents with 275M+ Healthcare Records

This solution demonstrates the capabilities of Microsoft Fabric using over 275 million rows of real-world healthcare data. It showcases how to leverage the Power BI Direct Lake connector to query large datasets stored in Delta Parquet format—without caching or a relational database. Fabric Data Agents have also been added for the Semantic Model and the Lakeouse or Warehouse. The Semantic Model is also optimized for Power BI Copilot, including the standalone version that functions as a SaaS MCP server for chatting on all of your content and data. The dataset used is the publicly available Medicare Part D Prescribers - by Provider and Drug, sourced from the Centers for Medicare & Medicaid Services (CMS). 🎥 Watch the full demo: YouTube Video https://youtu.be/2tLIGVZ4c8E

Creator: Greg Beaumont

🎬 Videos

🎬 video
youtube.com

Feb 6, 2025

Create your first Data Agent with SQL database in Fabric

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

Speaker: Sukhwant Kaur
🎬 video
youtube.com

Aug 28, 2025

Connect Data Agents to Teams with Copilot Studio

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 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!

Speaker: Bradley Ball
🎬 video
youtube.com

Aug 9, 2025

Extend Fabric Data Agents with Python SDK End to End Tutorial

Let's walk through and End to End tutorial for extending an existing Data Agent with Bradley Ball, aka ‪@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!

Speaker: Bradley Ball
🎬 video
youtube.com

Feb 5, 2026

Les Data Agents dans Microsoft Fabric

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.

Speaker: Akram Drid

đź“… Events

đź“… event
sqlsaturday.com

Mar 21, 2026

From Power BI to Conversational AI: Building Data Agents That Scales

Your Power BI semantic models already contain trusted business logic, metrics, and relationships. What if those same models could answer questions in natural language across Teams, Excel, and M365 Copilot without rebuilding everything? In this session, you'll see the complete journey from a standard Power BI semantic model to a conversational data agent deployed across multiple surfaces. We'll walk through: Preparing your semantic model for AI: Adding descriptions, AI instructions, and verified answers directly in Power BI Desktop Creating Fabric Data Agents: Turning your semantic model into an intelligent assistant with proper guardrails Deploying across M365: Making your agent accessible in Excel, Teams, and M365 Copilot Through a live demonstration using a real semantic model, you'll see how to handle time intelligence, variance calculations, and business-specific definitions so the AI understands your metrics the way your users do. We'll also cover what actually works (and what doesn't) when moving from visual analytics to conversational experiences. This isn't about replacing Power BI reports. It's about extending the work you've already done into new interaction patterns where they add real value.

đź”§ Tools

đź”§ tool
github.com

Data Agent Automation Using Python SDK

Notebook to automate creation, testing and updating data agent using Python SDK in Fabric notebook.

Creator: Microsoft
đź”§ tool
github.com

Data Agent Client - Teams App

A Microsoft Teams application that enables natural language queries to Fabric Data Agents, featuring real-time streaming responses, DAX query visualization, and multi-agent support. - Natural Language Queries: Ask questions in plain language and get AI-powered answers from your semantic models - Multi-Agent Support: Connect to multiple Fabric Data Agents and switch between them seamlessly - Real-Time Streaming: See responses as they're generated with live progress indicators - Query Transparency: View the generated DAX code and query results for each analysis step - Teams Integration: Native Teams app experience with SSO authentication - Fluent UI Design: Modern, responsive interface following Microsoft design guidelines

Creator: Ariele Levy
đź”§ tool
data-agent-inspector.streamlit.app

Data Agent Inspector

App to review data agent diagnostic file.

Creator: Sandeep Pawar
đź”§ tool
github.com

Data Agent External Client Python

A standalone Python client for calling Microsoft Fabric Data Agents from outside of the Fabric environment using interactive browser authentication. ⚠️This is in Preview and API can change until GA.

Creator: Microsoft
đź”§ tool
github.com

Semantic Model Data Agent Readiness Analyzer

What it does: Automates 18+ critical checks to validate your Power BI semantic model is ready for Microsoft Fabric Data Agents — saves hours of manual validation Prevents production failures by detecting issues like missing descriptions, duplicate column names, implicit measures, and poor DAX performance before deployment Provides actionable scoring with severity-weighted prioritization (🔴 Critical → 🟡 Recommended) so you know exactly what to fix first Aligned with official Microsoft guidance — covers 100% of the Fabric Data Agent Checklist including security requirements, AI Data Schema validation, and performance optimization Version-controlled best practices — guides you on Prep for AI configuration (Verified Answers, AI Instructions, synonyms) that travels with your PBIP model through Git and deployment pipelines Bottom line: Run this notebook before deploying your Data Agent to catch configuration gaps that would otherwise cause silent failures, poor accuracy, or timeout errors in production.

Creator: Farhan Soomro

đź’Ľ LinkedIn Posts

đź“„ article
linkedin.com

Mar 16, 2026

Data agent with SQL DB in Fabric

🚀 You launched your first SQL database in Fabric? Wondering what else you can do next? Imagine being able to chat with your data—or empowering your whole team to interact with your database using natural language. That’s where Data Agents in Microsoft Fabric come in. Internet is buzzing with folks building Data Agents – Here’s your chance to to be part of the excitement. 👇 Check out my quick video to see what’s possible when you let Data Agents do the heavy lifting. Join the conversation, share what you build next, and let’s inspire each other to keep innovating! hashtag#DataAgents hashtag#MicrosoftFabric hashtag#LowCode hashtag#NoCode hashtag#Innovation hashtag#SQLdatabaseinFabric https://lnkd.in/eYwtMrNN

Author: Sukhwant Kaur
đź“„ article
linkedin.com

Mar 16, 2026

Data Agents with Business Central Data

Ever wished you could ask natural language questions about your Business Central data and get instant insights? With the new Data Agent inside Microsoft Fabric, that’s now possible! In my latest blog, I dive into: ✅ How Data Agent connects to Business Central ✅ Why this is a game-changer for self-service analytics ✅ Practical examples of asking questions on your ERP data If you’re working with Microsoft Fabric and Business Central, this is a must-read!

Author: Bert Verbeek
đź“„ article
linkedin.com

Mar 16, 2026

From Power BI to Conversational AI: Building Data Agents That Scales

Khaled will be presenting at SQL Saturday ATL on data agents

Author: Khaled Chowdhury
đź“„ article
linkedin.com

Mar 16, 2026

How to build an AI agent in Fabric and Foundry to leverage your business data

If you have been waiting for a step‑by‑step tutorial to make an AI agent that “speaks” the language of your business data, this guide is for you. In this article I will show you how to: (1) build a Fabric Data Agent over your Fabric Lakehouse and (2) connect that agent to Microsoft Foundry to enable extended agent capabilities.

Author: Arash Besadi
đź“„ article
linkedin.com

Mar 16, 2026

Multi-agent routing for Fabric Data Agents using Microsoft Foundry

Creating multi-agent architecture with data agent and Microsoft Foundry

Author: Mathias Halkjær