Processing IoT Hub data streams with Azure Stream Analytics
In this 1-hour long project-based course, we will learn to create an IoT hub in the Azure cloud, register an IoT device within that IoT hub, send telemetry data from a raspberry pi web simulator to the IoT hub, create an Azure storage account and create stream analytics job with IoT hub as input and storage account as output so that we can store the sensor data on the Azure storage. Not only this, we will also see how we can perform queries and store specific telemetry data on the Azure storage. You must have some basic knowledge on working with Azure.
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- Level Intermediate
- Duration 2 hours
- Course by Coursera
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In this 1-hour long project-based course, we will learn to create an IoT hub in the Azure cloud, register an IoT device within that IoT hub, send telemetry data from a raspberry pi web simulator to the IoT hub, create an Azure storage account and create stream analytics job with IoT hub as input and storage account as output so that we can store the sensor data on the Azure storage. Not only this, we will also see how we can perform queries and store specific telemetry data on the Azure storage. You must have some basic knowledge on working with Azure.Modules
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- Processing IoT Hub data streams with Azure Stream Analytics
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Auto Summary
"Processing IoT Hub data streams with Azure Stream Analytics" is a 2-hour, intermediate-level course designed for IT and computer science enthusiasts. Led by Coursera, learners will create an IoT hub, register devices, send telemetry data, and use Azure Stream Analytics to store and query data. Basic Azure knowledge is required. Free subscription available.
Priya Jha