The Future of Data: AI Agents in Microsoft Fabric

The Future of Data: AI Agents in Microsoft Fabric

1.342 Lượt nghe
The Future of Data: AI Agents in Microsoft Fabric
Everything You Need to Know About Data Agents in Microsoft Fabric | Full Demo & Deep Dive In this video, I walk you through Data Agents in Microsoft Fabric – what they are, why they matter, and how you can use them effectively in real-world scenarios. Whether you're a data engineer, architect, or a BI professional, this session is packed with insights to help you get hands-on with this powerful feature. ✅ What are Data Agents in Microsoft Fabric? ✅ Key prerequisites before you get started ✅ The complete Data Agent process flow ✅ Limitations and considerations you should be aware of ✅ 🔧 Live demo: See a full-featured Data Agent in action! 💡 Perfect for beginners and experienced professionals looking to understand or implement hybrid data access using Microsoft Fabric. 📌 Don’t forget to like, subscribe, and hit the bell icon so you don’t miss more deep-dives into Microsoft Fabric, Power BI, and the Power Platform! Drop your questions in the comments, share this with your tech circle, and let me know what topic you’d like to see next! 💬 Comment below if you’ve tried Data Agents or plan to – I’d love to hear how you’re using them. 📢 Subscribe now to stay ahead with deep dives, demos, and real-world tips on Microsoft Fabric, Power BI, and beyond. Let’s grow together – become a BI Master today! Linkedin - https://www.linkedin.com/in/prathameshsable/ Topmate - https://www.linkedin.com/in/prathameshsable/ 00:00 Intro 01:04 What are Data Agents? 02:27 Prerequisites for using Data Agents? 03:17 How Fabric Data Agent works? 06:15 Data setup before using Data Agents 07:05 Create your first agent 07:20 Connect your Lakehouse to the agent 08:11 Query your agent 10:45 Connect your Semantic model to the agent & query 14:25 Use output from data agent to DAX query view 16:10 Outro #microsoft #microsoftfabric #fabric #certificate #learning #certification #dataagents #agent #trainer