(19) KQL Queries in Microsoft Fabric | Real-Time Data Demo with Eventhouse & Eventstream || DP-700
Автор: Raghu Veer Tech
Загружено: 2025-08-30
Просмотров: 311
Описание:
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.
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