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RSS feedMarch 2020
Data Factory adds Managed Identity and Service Principal to Data Flows Synapse staging
Azure Data Factory adds Managed Identity & Service Principal to Data Flows Synapse staging for fast, secure data loading.
Data Factory adds Flatten transformation, single-row lookups, and updated UI for container activities
Azure Data Factory added several new features to mapping data flows and pipeline activities this week: Flatten transformation, Lookup transformation, container UI.
February 2020
Data Factory adds schema import, connection tests, and custom sink ordering to data flows
Azure Data Factory added several new features to mapping data flows this week: Import schema and test connection from debug cluster, custom sink ordering.
January 2020
Data Factory Adds Managed Identity Support to Data Flows
Azure Data Factory users can now build Mapping Data Flows utilized Managed Identity (formerly MSI) for Azure Data Lake Store Gen 2, Azure SQL Database, and Azure Synapse Analytics (formerly SQL DW).
Azure Data Factory is now available in South Africa North
Azure Data Factory is now available in the South Africa North region.
Azure Data Factory supports loading data into Azure Synapse Analytics using COPY statement
Azure Synapse Analytics introduced a new COPY statement (preview) which provides the most flexibility for high-throughput data ingestion.
Azure Data Factory copy activity supports resume from last failed run
Azure Data Factory copy activity now supports resume from last failed run when you copy files between file-based data stores to ease large volumes of data ingestion and migration.
Azure Data Factory supports copying data into SFTP
Azure Data Factory now supports SFTP as a sink and as a source. Use copy activity to copy data from any supported data store to your SFTP server located on-premises or in the cloud.
December 2019
Data Factory Expands Data Flow Parameterization Capabilities
Azure Data Factory expands parameterization capabilities to make data flows even more reusable and scalable.
Azure Data Factory supports preserving metadata during file copy
Azure Data Factory copy activity now supports preserving metadata during file copy among Amazon S3, Azure Blob, and Azure Data Lake Storage Gen2.
November 2019
Azure Data Factory wrangling data flows is now in preview
Azure Data Factory wrangling data flows are now in preview.
October 2019
Execute Azure Machine Learning service pipelines in Azure Data Factory pipelines
You now have the ability to run your Azure Machine Learning service pipelines as a step in your Azure Data Factory pipelines. This allows you to run your machine learning models with data from multiple sources (more than 85 data connectors supported in Data Factory).
Azure Data Factory Mapping Data Flows GA
Mapping Data Flows feature is now generally available in Azure Data Factory
September 2019
Data Factory supports copying data into Azure Database for PostgreSQL
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.
Copy Activity in Azure Data Factory supports creating a destination table automatically
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
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.
Copy data from Netezza to Azure with Azure Data Factory
Azure Data Factory now provides built-in data partitioning to copy data from Netezza.
August 2019
Azure Data Factory mapping data flows adds SQL scripts to sink transformation
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.
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.
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