The What and the Why of Microsoft Fabric Real-time Analytics
summary
Microsoft Fabric ingests high‑frequency telemetry (supports Event Hub / AMQP / Kafka endpoints and sample sources), transforms JSON arrays with operations like expand, aggregation, filter and group by, stores rows in a kql database, and wires a live Power BI direct query plus Data Activator alerts. Demo builds a web app that streams noise samples into Event Stream, expands arrays into rows, writes terabytes‑scale data per day, and surfaces low‑latency visuals and alerts — the prototype runs live after a flaky rehearsal.
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chapters (9)
- 0:00Microsoft Fabric real-time analytics
- 1:54Why real-time analytics matters
- 3:38Aviation and industry use cases
- 7:24Real-time data characteristics
- 10:35Fabric components for real-time analytics
- 12:51Live demo setup and ingestion
- 16:22Transforming data in KQL database
- 17:24Querying with Kusto Query Language
- 18:05Power BI reports from real-time data
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