(18) Microsoft Fabric Real-Time Analytics Demo | Eventstream + Eventhouse Setup Live Data || DP-700

#microsoftfabric #streaming #realtimeanalytics #dataengineering #bigdata In this video, we do a hands-on demo of Real-Time Analytics in Microsoft Fabric. 🚀 You’ll learn step by step how to: ✅ Create an Eventhouse (real-time storage with KQL database) ✅ Create an Eventstream to ingest data ✅ Connect to sample data sources (Bicycles dataset) ✅ Set up destinations for storing data in Eventhouse tables ✅ Query data using KQL (take 100, schema, ingestion time, etc.) ✅ Apply Transformations (GroupBy, Aggregations, Tumbling Window) inside Eventstream ✅ Route transformed data to new Eventhouse tables By the end of this tutorial, you’ll understand how to: • Ingest live streaming data into Fabric • Store and query real-time data in Eventhouse • Use basic transformations in Eventstream to process data before loading • Run KQL queries on live data DP-700 labs style walkthrough of Eventstream and Eventhouse. Aligned with DP-700 practice questions on ingestion pipelines. Hands-on DP-700 exam prep topic for real-time analytics. 📌 Next video → KQL queries on real-time bicycle dataset