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Target retirement date: August 31, 2023
We’re retiring Azure Data Factory version 1 service on 31 August 2023
Target availability: Q2 2020
Update your servers/machines running self-hosted integration runtimes that communicate with the Azure Data Factory backend for control plane actions to use transport layer security (TLS) 1.2 by May 11, 2020.
Azure Data Factory now supports Azure Database for PostgreSQL as a sink. Use the copy activity feature to load data into Azure Database for PostgreSQL from any supported data source.
Load data faster with new support from the Copy Activity feature in Azure Data Factory. Now, if you’re trying to copy data from any supported source into SQL database/data warehouse and find that the destination table doesn’t exist, Copy Activity will create it automatically.
Azure Data Factory now supports copying data into Azure Database for MySQL. Use the Copy Activity feature to load data into Azure Database for MySQL from any supported data sources.
Azure Data Factory now provides built-in data partitioning to copy data from Netezza.
Azure Data Factory has added the ability to execute custom SQL scripts from your SQL sink transformation in mapping data flows. Now you can easily perform options such as disabling indexes, allows identity inserts, and other DDL/DML operations from data flows.
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.
Azure Data Factory now supports service principal and MSI authentication for Azure Data Lake Storage Gen2 connectors.
Azure Data Factory is now integrated with Azure Key Vault. You can store credentials for your data stores and computes referred in Data Factory ETL workloads in a key vault.
In response to your feedback, we're happy to announce the release of visual tools for Azure Data Factory that allow you to get pipelines up and running quickly without having to write a single line of code.
New Azure Data Factory features, now in public preview, will enable you to build hybrid data integration so that you'll be able to create, schedule, and orchestrate your ETL/ELT workflows, at scale, wherever your data lives, including the cloud or any self-hosted network.
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