Stream Analytics is a tool that connects IoT Hub to other resources within Azure using a SQL interface. Stream Analytics moves data from IoT Hub to Cosmos DB, storage blobs, serverless functions, or a number of other scalable options. Streaming analytics has a few functions built-in, and you can create more functions yourself using JavaScript; anomaly detection is one of those functions. In this example, we are going to use Raspberry Pi to stream gyroscope and acceleration data to IoT Hub. Then we'll connect streaming analytics and, using its SQL interface, we will output only the anomalous results.
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You're reading from Artificial Intelligence for IoT Cookbook
Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
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Michael Roshak is a cloud architect and strategist with extensive subject matter expertise in enterprise cloud transformation programs and infrastructure modernization through designing, and deploying cloud-oriented solutions and architectures. He is responsible for providing strategic advisory for cloud adoption, consultative technical sales, and driving broad cloud services consumption with highly strategic accounts across multiple industries.
Read more about Michael Roshak