(19) KQL Queries in Microsoft Fabric | Real-Time Data Demo with Eventhouse & Eventstream || DP-700

In this video, we practice KQL (Kusto Query Language) queries in Microsoft Fabric using live data ingested into Eventhouse via Eventstream. 🚀 You’ll learn step by step how to: ✅ Run basic queries – take, project, where ✅ Filter data with multiple conditions (where … and …) ✅ Apply date/time filtering (last 30 minutes, between ranges) ✅ Sort results using sort by (ascending & descending) ✅ Add new columns with extend ✅ Perform aggregations with summarize (group by in SQL vs summarize in KQL) ✅ Compare default KQL ordering vs SQL ordering By the end, you’ll be confident writing KQL queries to explore, filter, and aggregate real-time streaming data in Fabric. 📌 Next video → KQL functions and materialized views in Fabric. This video is part of my Microsoft Fabric Series, covering Data Factory, Lakehouse, Eventstream, Eventhouse, KQL, PySpark, and more (great prep for DP-700 exam). DP-700 Microsoft Fabric Data Engineer exam expects KQL knowledge. Mapped to DP-700 labs and practice test exercises. Covers DP-700 practice questions on querying real-time data.