Messaging Processing, Analytics, and Business Integration

Messaging processing, analytics, and business integration

Part 4 of the Azure training series, Build end-to-end IoT solutions

Preventive maintenance is a key IoT scenario—detect that something is wrong before there is any damage. In this module, you’ll write code to send continuous telemetry to an IoT hub that will use Azure Stream Analytics and a built-in machine learning model to warn of anomalies. Using Power BI to visualize the data stream, you’ll create an event subscription within Azure IoT Hub to set up Event Grid integration that will trigger a logic app to send an alert. We’ll also cover working with time series data using the Time Series Insights (TSI) Explorer.

The labs for this session include:

• Device message routing.
• Visualizing a data stream in Power BI.
• Integrating Azure IoT Hub with Event Grid.
• Exploring and analyzing time-stamped data with Time Series Insights.