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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.
Customers can now use Azure Stream Analytics in the France Central region.
Azure Stream Analytics is now available in the Korea Central region.
Eligible customers can now use Azure Stream Analytics in the US GOV Virginia region.
Target availability: Q4 2019
It is 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.
It is 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.
With just 1 click, Event Hubs customers can easily visualize incoming streaming data and start writing Stream Analytics query from the Event Hubs portal.
With the new MATCH_RECOGNISE function, developers can easily define event patterns using regular expressions and aggregate methods to verify and extract values from the match.
Azure Stream Analytics now offers output adapter for egress to Azure Data Lake Storage Gen 2.
Azure Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage or Azure Data Lake Storage Gen 2.
Developers can now use aggregates such as SUM, COUNT, AVG, MIN and MAX directly with the OVER clause, without having to define a window.
Now you can authenticate Stream Analytics egress to Azure Blob Storage using managed identities.
Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage.
Develop, manage and test Azure Stream Analytics jobs on Mac, Linux and Windows
Azure Stream Analytics now supports custom de-serializers (in preview).
April updates for Stream Analytics tools for Visual Studio is now available. The update includes enhancement for local testing and enables several new features:
Stream Analytics now allows users to attach query columns as user properties to outgoing messages to helps better facilitate downstream processing and reporting etc.
Azure Stream Analytics now offers full support for WKT geospatial format.
Stream Analytics now empowers every developer to easily add anomaly detection capabilities by providing ready-to-use machine learning models right within the SQL language.
Azure Stream Analytics now natively supports Azure SQL DB as a source of reference data input.
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