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Monthly updates for Azure Stream Analytics: November 2019

Nov 11

Azure Stream Analytics—Real-time scoring with custom machine learning models

NOW AVAILABLE

Azure Stream Analytics now supports high-performance, real-time scoring by taking advantage of custom pre-trained machine learning models that are managed by Azure Machine Learning service and hosted in Azure Kubernetes Service (AKS) or Azure Container Instances, using a workflow that doesn't require users to write any code.

  • Azure Stream Analytics
  • Features
Nov 11

Azure Stream Analytics—Managed Identity authentication with Power BI

NOW AVAILABLE

Stream Analytics now offers full support for managed identity-based authentication with Power BI for dynamic dashboarding experience.

  • Azure Stream Analytics
  • Features
Nov 11

Azure Stream Analytics—C# custom deserializers in Cloud and IoT edge

NOW AVAILABLE

Take advantage of the power of Stream Analytics to process data in Protobuf, XML, or any custom format.

  • Azure Stream Analytics
  • Features
Nov 11

Online scaling for Stream Analytics jobs

NOW AVAILABLE

Target availability: Q4 2019

With online scaling capability, it’s now possible to increase or decrease the SU capacity of a running job without having to stop it, so you will no longer be required to stop your job if you need to change the SU allocation.

  • Azure Stream Analytics
  • Features
Nov 5

Azure Stream Analytics—Extensibility with C# custom code UDFs

NOW AVAILABLE

Developers creating Stream Analytics modules in the cloud or on IoT Edge can now write or reuse custom C# functions and invoke them right in the query through user-defined functions.

  • Azure Stream Analytics
  • Features

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