Real Time analytics - Sense analyze generate insights with Fabric
summary
Demonstrates Microsoft Fabric real-time analytics wiring Event Stream ingestion into a KQL database and OneLake/lakehouse, claiming exabyte-scale storage with seconds end-to-end latency. Shows a no-code Event Stream canvas that transforms and routes Yellow Taxi sample events to lake tables and a KQL table; a KQL query set runs anomaly detection over 1.5 billion rows and returns results in seconds (420 GB compressed example). Finally, Data Activator turns those queries into automated alerts (email/Teams/Power Automate) with threshold triggers.
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chapters (14)
- 0:00Real-time analytics intro
- 1:17Enterprise analytics limits
- 3:45Real-time scenarios
- 4:28Demo: KQL setup
- 5:10Ingest taxi data with Event Streams
- 9:27KQL database features
- 13:05Query taxi ride data
- 16:53KQL for IoT scale
- 18:18Insights to action with Data Activator
- 19:20Automate alerts
- 20:46Taxi alerts trigger
- 23:15Triggers from Power BI
- 24:19Data Activator preview
- 24:40Closing & future
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