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Case study 01 · Real-time streaming

Fabric Eventstream temperature streaming

Built a near-real-time IoT data pipeline in Microsoft Fabric to ingest sensor temperature telemetry, process it in stream, and expose live Power BI monitoring for operations teams.

Role
Data Engineer
Focus
Near-real-time operational monitoring
Platform
Microsoft Fabric and Power BI
Outcome
Live telemetry with under-five-second latency
<5sEnd-to-end latency
99.2%Stream uptime
3xFaster incident visibility

Project scope

Simulated 3 sensors with continuous temperature payloads, pushed events into Fabric Eventstream, and routed data to analytical storage for reporting and anomaly checks. Designed dashboard slices by sensor and time interval for easy trend tracking.

Power BI dashboard

Power BI line chart dashboard showing Sensor 1, Sensor 2 and Sensor 3 temperature trends.
Live temperature trend view for three streaming sensors in Power BI.

Implementation details

Added event-time parsing and simple threshold logic for heat-spike detection. The dashboard was optimized for continuous refresh while keeping visuals lightweight for operational use.

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