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RSS feedFebruary 2019
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.
November 2018
Data Factory supports service principal and MSI authentication for Data Lake Storage Gen2
Azure Data Factory now supports service principal and MSI authentication for Azure Data Lake Storage Gen2 connectors.
October 2018
Integrate Office 365 data at scale into Azure by using Data Factory
Azure Data Factory added a new capability that enables secured, governed, and scalable access of Office 365 data in Azure.
September 2018
New connectors in Azure Data Factory: Oracle Service Cloud and Google AdWords
You can now copy data from Oracle Service Cloud and Google AdWords into Azure by using Azure Data Factory.
August 2018
Data Factory supports service principal and MSI authentication for Azure Blob connectors
Azure Data Factory now supports service principal and MSI authentication for Azure Blob connectors.
Azure Data Factory/Azure Cosmos DB connector now supports UPSERT
Azure Data Factory now supports writing to Azure Cosmos DB by using UPSERT in addition to INSERT.
May 2018
Data Factory Lookup activity supports a rich set of connectors
The Data Factory Lookup activity supports retrieving a dataset from any of the ADF-supported data sources.
Data Factory GetMetadata activity supports more sources and metadata options
The Data Factory GetMetadata activity supports more sources and metadata options.
New connectors available in Azure Data Factory
New connectors are available in Azure Data Factory: Salesforce Marketing Cloud and Oracle Responsys.
Data Factory supports wildcard file filters for Copy Activity
Data Factory Copy Activity supports wildcard file filters when you're copying data from file-based data stores.
Secure credential management by using Azure Key Vault and Data Factory
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.
April 2018
Support for operationalizing Azure Databricks notebooks
Operationalize your Azure Databricks notebooks by using Azure Data Factory.
March 2018
Data Factory supports Azure AD authentication for SQL Database and SQL Data Warehouse
Azure Data Factory V2 supports Azure AD authentication for Azure SQL Database and SQL Data Warehouse, as an alternative to SQL Server authentication.
September 2017
Azure Data Factory new capabilities
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.
March 2016
Code-free copy wizard for Azure Data Factory
Simplify how you create, deploy, and schedule your data movement pipelines by using the click-through copy wizard for Azure Data Factory.
Data Factory supports data movement in Australia regions
Azure Data Factory supports Australia regions for data movement.
February 2016
New Data Factory monitoring and management UI now available
Simplify how you monitor and manage your data pipelines with the new UI for Azure Data Factory.
November 2015
Azure Data Lake Store and Azure Data Lake Analytics integration with Azure Data Factory
You can use Azure Data Factory to move data to and from Data Lake Store, and you can run queries with Data Lake Analytics.
August 2015
General availability: Azure Data Factory
Azure Data Factory is a cloud-based data integration service that automates moving and transforming data.
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