Azure updates

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    February 2019

    Feb 26

    Support for Enterprise Security Package–enabled HDInsight clusters in Azure Data Factory

    You can use Azure Data Factory to operationalize your Azure HDInsight Spark and Hadoop workloads against HDInsight clusters with Enterprise Security Package that are joined to an Active Directory domain.

    Feb 26

    Monitor Azure Data Factory pipelines by using Azure Monitor and Log Analytics

    You can monitor the health of your data factory pipelines by using the Azure Data Factory Analytics service pack available in the Azure Marketplace.

    Feb 25

    Azure Data Factory visual tools integrated with GitHub

    Azure Data Factory visual tools are now integrated with GitHub, so you can collaborate with other developers, do source control, and version your data factory assets.

    Feb 25

    Self-hosted IR sharing across multiple data factories

    You can share an existing self-hosted IR with multiple data factories. This functionality helps you reuse an existing self-hosted IR infrastructure in another data factory while building a hybrid data-integration pipeline.

    Feb 25
    Feb 25

    Linked Resource Manager template support available for CI/CD in your data factories

    Azure Data Factory now generates linked Resource Manager templates for CI/CD by breaking the factory payload into several files to help users with Resource Manager template limits.

    Feb 25

    Azure Functions now supported as a step in Azure Data Factory pipelines

    Azure Functions is now integrated with Azure Data Factory, so you can run an Azure function as a step in your data factory pipelines.

    Feb 25

    Create alerts to proactively monitor your data factory pipelines

    Organizations can now improve operational productivity by creating alerts on data integration events (success/failure) and proactively monitor with Azure Data Factory.

    Feb 25

    Enhanced monitoring capabilities and tags/annotations in Azure Data Factory

    Azure Data Factory pipelines now include tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support.

    Feb 25

    Code-free data transformation at scale using Azure Data Factory

    You can visually design, build, and manage data transformation processes without learning Spark or having a deep understanding of the distributed infrastructure.

    Feb 23

    Quickly build data integration pipelines by using templates in Azure Data Factory

    Data Engineers or data developers can now use templates in Azure Data Factory to quickly build data integration pipelines, improve developer productivity, and reduce development time for repeat processes.