You are designing an anomaly detection solution for streaming data from an Azure IoT hub. The solution must meet the following requirements:
Send the output to Azure Synapse.
Identify spikes and dips in time series data.
Minimize development and configuration effort.
Which should you include in the solution?
You can identify anomalies by routing data via IoT Hub to a built-in ML model in Azure Stream Analytics.
https://docs.microsoft.com/en-us/learn/modules/data-anomaly-detection-using-azure-iot-hub/
Currently there are no comments in this discussion, be the first to comment!