Ingest, query and visualize IoT streams using Azure Data Explorer

Telemetry and events, coming from IoT devices, ingested as a stream, must first be filtered, enriched, and aggregated before any value can be offered.

On top of that, these signals can be corrupted due to misconfiguration, faulty sensors, corrupted communication, or tampering. Data can even become missing due to lost connections or missing sensors, so you must fill in the gaps based on... nothing?

This is the burden of IoT Developers: one leg in that cosy cloud, one leg in the cruel physical world.

Luckily, The Azure cloud offers several tools to monitor that vast amount of telemetry for anomalies or trends.

Azure Data Explorer (ADX) is the new kid on the block for many IoT developers.

In this session, the attendees are introduced to the Azure IoT Hub Connection for ADX and they are explained how to get around common ingestion pitfalls.

Once telemetry arrives in ADX, attendees will learn about the Kusto Query Language (KQL), used to query all data and they will see how to visualize it in eg. integrated dashboard with multiple charts or Managed Grafana.

Presentation is packed with demos

Sander van de Velde

Ask me about Azure IoT, Ask me how to add value

Helmond, The Netherlands


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