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RSS feedSeptember 2021
General availability: Azure Data Factory managed virtual network
Azure Data Factory managed virtual network provides you with a more secure and manageable data integration solution.
August 2020
Azure Private Link support in Azure Data Factory now available
Azure Data Factory (ADF) now supports Azure Private Link.
January 2020
Azure Data Factory is now available in South Africa North
Azure Data Factory is now available in the South Africa North region.
August 2019
New Quick Action Transformations Added to Data Factory Mapping Data Flows
Data Factory Mapping Data Flows has added a new "Quick Actions" feature to automate the creation of data transformations.
Gantt Views for monitoring data factory pipelines are now available
Gantt views are now available for monitoring data factory pipelines.
Create dependencies among pipelines in your Azure Data Factories
Create dependent pipelines in your Azure Data Factories by adding dependencies among tumbling window triggers in your pipelines.
July 2019
New features added to Data Factory Mapping Data Flows making schema drift handling easy
New features added to the ADF service this week make handling flexible schemas and schema drift scenarios super easy when construction Mapping Data Flows for data transformation at scale
June 2019
Clean up files by built-in delete activity in Azure Data Factory
You can use ADF delete activity in your pipeline to deletes undesired files without writing code.
February 2019
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.
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.
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.
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.
Parameterize connections to your data stores in Azure Data Factory
You can now parameterize a linked service in Azure Data Factory.
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.
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.
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.
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.
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.
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.
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