(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