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RSS feedMay 2020
Authenticate Azure Stream Analytics to Azure SQL Database using managed identities (preview)
Azure Stream Analytics now supports managed identity authentication with Azure SQL Database.
High throughput output from Stream Analytics to Azure Synapse Analytics (preview)
Azure Stream Analytics jobs now have the ability to output to an existing SQL pool table in Azure Synapse Analytics, and to process throughput rates up to 200 MB/s.
Authenticate Azure Stream Analytics to Azure SQL Database using managed identities
Azure Stream Analytics now supports managed identity authentication with Azure SQL Database.
March 2020
Integrate Azure Stream Analytics with Azure Machine Learning (in preview)
Target availability: Q1 2020
Implement machine learning models as a user-defined function (UDF) in your Azure Stream Analytics jobs to do real-time scoring and predictions on your streaming input data.
101 services at FedRAMP High as Azure Government continues expanding capacity
21 new services added to FedRAMP High ATO, delivering on continued commitment to accelerating compliance for government customers
Azure Stream Analytics managed identity authentication to Power BI is now available
Target availability: Q1 2020
Managed identity authentication for output to Power BI is now generally available in Azure Stream Analytics.
February 2020
Compatibility level 1.2 for Azure Stream Analytics jobs is now available
Compatibility level 1.2 for Azure Stream Analytics jobs is now available.
Azure Stream Analytics—MATCH_RECOGNIZE function is now available
The MATCH_RECOGNIZE function is now available in Stream Analytics.
Azure Stream Analytics—Machine learning–based anomaly detection functions
Easily add anomaly detection capabilities to your Stream Analytics jobs without the requirement to develop and train your own machine learning models. Ready-to-use unsupervised learning ML models are provided within the SQL language.
November 2019
Azure Stream Analytics—Real-time scoring with custom machine learning models
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—Managed Identity authentication with Power BI
Stream Analytics now offers full support for managed identity-based authentication with Power BI for dynamic dashboarding experience.
Azure Stream Analytics—C# custom deserializers in Cloud and IoT edge
Take advantage of the power of Stream Analytics to process data in Protobuf, XML, or any custom format.
Online scaling for Stream Analytics jobs
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—Extensibility with C# custom code UDFs
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.
October 2019
Azure Stream Analytics is now available in France Central region
Customers can now use Azure Stream Analytics in the France Central region.
Azure Stream Analytics is now available in Korea Central
Azure Stream Analytics is now available in the Korea Central region.
Azure Stream Analytics is now available in US GOV Virgina region
Eligible customers can now use Azure Stream Analytics in the US GOV Virginia region.
New reference data options in Stream Analytics—SQL Managed Instance and SQL Server on VM
Target availability: Q4 2019
It's now possible to configure an Azure SQL Database Managed Instance or even a SQL server running on a virtual machine as a reference data input for you Stream Analytics job.
New output options in Azure Stream Analytics—SQL Managed Instance and SQL Server on VM
It’s now possible to configure an Azure SQL Database Managed Instance or even a SQL server running on a virtual machine as an output in your Stream Analytics job.
July 2019
One Click Integration with Stream Analytics from Event Hubs
With just 1 click, Event Hubs customers can easily visualize incoming streaming data and start writing Stream Analytics query from the Event Hubs portal.
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