Azure updates

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Products

    July 2019

    Jul 17

    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.

    • Event Hubs
    • Azure Stream Analytics
    • Features
    Jul 17

    Pattern Matching Function is now available in Stream Analytics

    With the new MATCH_RECOGNIZE function, developers can easily define event patterns using regular expressions and aggregate methods to verify and extract values from the match.

    • Azure Stream Analytics
    • Features
    Jul 17

    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.

    • Azure Stream Analytics
    • Azure Data Lake Storage
    • Features
    Jul 17

    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.

    • Azure Data Lake Storage
    • Azure Stream Analytics
    • Blob Storage
    • Features
    Jul 17

    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.

    • Azure Stream Analytics
    • Features
    Jul 17

    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
    • Blob Storage
    • Features
    Jul 15

    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.

    • Azure Stream Analytics
    • Features
    • Microsoft Inspire
    • Services

    May 2019

    May 6

    Azure Stream Analytics support for Visual Studio Code is in preview

    Develop, manage, and test Azure Stream Analytics jobs on Mac, Linux, and Windows

    • Visual Studio Code
    • Azure Stream Analytics
    • Features
    • Microsoft Build
    • SDK and Tools
    • Services
    May 6

    Implement custom de-serializers in Azure Stream Analytics (in preview)

    Azure Stream Analytics now supports custom de-serializers (in preview).

    • Azure Stream Analytics
    • Features
    • Microsoft Build

    April 2019

    Apr 9

    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:

    • Azure Stream Analytics
    • Features
    • SDK and Tools
    Apr 6

    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.

    • Azure Stream Analytics
    • Azure IoT Hub
    • Event Hubs
    • Features
    Apr 2

    New geospatial features in Azure Stream Analytics are now generally available

    Azure Stream Analytics now offers full support for WKT geospatial format.

    • Azure Stream Analytics
    • Features

    February 2019

    Feb 25

    Azure SQL DB as reference data input

    Azure Stream Analytics now natively supports Azure SQL DB as a source of reference data input.

    • Azure SQL Database
    • Azure Stream Analytics
    • Features
    Feb 25

    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 Machine Learning service
    • Azure Stream Analytics
    • Features
    Feb 11

    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.

    • Azure SQL Database
    • Azure Stream Analytics
    • Features
    Feb 11

    New language functions in Stream Analytics

    REPLACE, COALESCE, ROUND, and CROSS JOIN are new functions in Stream Analytics.

    • Azure Stream Analytics
    • Features
    Feb 7

    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.

    • Azure Search
    • Azure Stream Analytics
    • Features

    December 2018

    Dec 4

    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.

    • Azure Stream Analytics
    • Azure IoT Edge
    • Microsoft Connect

    September 2018

    Sep 26

    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.

    • Azure Stream Analytics
    • Features
    Sep 26

    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.

    • Azure Stream Analytics
    • Azure Databricks
    • HDInsight
    • Features

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