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RSS feedJuly 2019
Pattern Matching Function is now available in Stream Analytics
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.
Stream Analytics supports output to Azure Data Lake Storage Gen 2
Azure Stream Analytics now offers output adapter for egress to Azure Data Lake Storage Gen 2.
Stream Analytics offers native support for Parquet format
Azure Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage or Azure Data Lake Storage Gen 2.
Analytics as aggregates is now available in Stream Analytics
Developers can now use aggregates such as SUM, COUNT, AVG, MIN and MAX directly with the OVER clause, without having to define a window.
Authenticate Stream Analytics egress to Azure Blob Storage using managed identities
Now you can authenticate Stream Analytics egress to Azure Blob Storage using managed identities.
Azure Stream Analytics now offers native support for Apache Parquet format
Stream Analytics now offers native support for Apache Parquet format when writing to Azure Blob storage.
May 2019
Azure Stream Analytics support for Visual Studio Code is in preview
Develop, manage and test Azure Stream Analytics jobs on Mac, Linux and Windows
Implement custom de-serializers in Azure Stream Analytics (in preview)
Azure Stream Analytics now supports custom de-serializers (in preview).
April 2019
Azure Stream Analytics tools for Visual Studio April 2019 Update
April updates for Stream Analytics tools for Visual Studio is now available. The update includes enhancement for local testing and enables several new features:
Set custom metadata properties for Stream Analytics output
Stream Analytics now allows users to attach query columns as user properties to outgoing messages to helps better facilitate downstream processing and reporting etc.
New geospatial features in Azure Stream Analytics are now generally available
Azure Stream Analytics now offers full support for WKT geospatial format.
February 2019
Machine learning-based anomaly detection functions in Azure Stream Analytics (preview)
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 SQL DB as reference data input
Azure Stream Analytics now natively supports Azure SQL DB as a source of reference data input.
SQL Database as a source of reference data input for Stream Analytics
Users can use data in SQL Database to augment their stream processing logic.
New language functions in Stream Analytics
REPLACE, COALESCE, ROUND and CROSS JOIN are new functions in Stream Analytics.
Blob output partitioning in Azure Stream Analytics
Azure Stream Analytics users can now partition output to Azure Blob storage based on custom date and time formats.
December 2018
Azure Stream Analytics on IoT Edge is now available
Azure Stream Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device-generated data.
September 2018
Stream Analytics: User-defined custom repartition count
We are extending our SQL language to optionally enable users to specify the number of partitions of a stream when performing repartitioning.
Stream Analytics: Live data testing in Visual Studio
Visual Studio tooling for Azure Stream Analytics further enhances the local testing capability to help users test their queries against live data or event streams from cloud sources.
Stream Analytics: Output partitioning to Blob storage by custom date and time formats
Azure Stream Analytics users can now partition output to Azure Blob storage based on custom date and time formats.
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