Stream Analytics

Azure Stream Analytics is a fully managed real-time stream computation service hosted in Microsoft Azure, which provides highly resilient, low latency, and scalable complex event processing of streaming data. Azure Stream Analytics enables developers to easily combine streams of data with historic records or reference data to derive business insights easily and quickly.

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  1. Support automatic restart with IoT Hub failover

    Azure Stream Analytics fails to received input from IoT Hub after an IoT Hub/Event Hub failover. the user will have to restart the job manually
    after failover. It is difficult for user to restart the job manually due to a midnight failover for a 24x7 ruiining system.
    Please consider automatic restart or restart button of Stream Analytics after IoT Hub failover.

    36 votes
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  2. Anomaly Detection dynamic Parameter Ability

    The anomaly detection algorithms are quite customisable, but it would be nice to be able to pass in the history size and confidence parameters as scalar values from the row of the data set being analyzed rather than hardcoded numbers

    Reason being, I am then able to have a single query that operates differently depending on the frequency of the sensor that is sending the data and it would mean I only require a single query that serves all purposes.

    3 votes
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  3. 1 vote
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  4. Please add function that change time zone of activityLog.

    The JSON in activityLog shows time zone as a UTC.
    But I want to set that time zone as a JST.
    So, please add function that can change time zone of activityLog.

    4 votes
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  5. Unable to create SAJ with just one input of type Reference Data. Enabling this feature will let us build real-time dashboards on SQL DB

    Unable to create SAJ with just one input of type Reference Data. Enabling this feature will let us build real-time dashboards based on SQL DB itself.

    1 vote
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  6. Call out to Machine Learning scoring APIs

    Call out to Machine Learning web services deployed on AKS (Azure Kubernetes Services) or other runtimes supported by Azure ML: https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

    0 votes
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