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January 2020

Jan 29

Data Factory Adds Managed Identity Support to Data Flows

NOW AVAILABLE

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
  • Features
Jan 27

Azure Data Factory is now available in South Africa North

NOW AVAILABLE

Azure Data Factory is now available in the South Africa North region.

  • Data Factory V2
  • Azure Data Factory
  • Services
  • Features
  • Regions & Datacenters
Jan 17

Azure Data Factory supports loading data into Azure Synapse Analytics using COPY statement

IN PREVIEW

Azure Synapse Analytics introduced a new COPY statement (preview) which provides the most flexibility for high-throughput data ingestion.

  • Azure Data Factory
  • Azure Synapse Analytics
  • Features
Jan 17

Azure Data Factory copy activity supports resume from last failed run

NOW AVAILABLE

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
  • Features
Jan 17

Azure Data Factory supports copying data into SFTP

NOW AVAILABLE

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.

  • Azure Data Factory
  • Features

December 2019

Dec 16

Data Factory Expands Data Flow Parameterization Capabilities

NOW AVAILABLE

Azure Data Factory expands parameterization capabilities to make data flows even more reusable and scalable.

  • Azure Data Factory
  • Features
Dec 12

Azure Data Factory supports preserving metadata during file copy

NOW AVAILABLE

Azure Data Factory copy activity now supports preserving metadata during file copy among Amazon S3, Azure Blob, and Azure Data Lake Storage Gen2.

  • Azure Data Factory
  • Azure Blob Storage
  • Azure Data Lake Storage
  • Features

November 2019

Nov 4

Azure Data Factory wrangling data flows is now in preview

IN PREVIEW

Azure Data Factory wrangling data flows are now in preview.

  • Azure Data Factory
  • Features

October 2019

Oct 11

Execute Azure Machine Learning service pipelines in Azure Data Factory pipelines

NOW AVAILABLE

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
  • Features
Oct 7

Azure Data Factory Mapping Data Flows GA

NOW AVAILABLE

Mapping Data Flows feature is now generally available in Azure Data Factory

  • Azure Data Factory
  • Features

September 2019

Sep 23

Data Factory supports copying data into Azure Database for PostgreSQL

NOW AVAILABLE

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.

  • Azure Data Factory
  • Azure Database for PostgreSQL
  • Features
Sep 18

Copy Activity in Azure Data Factory supports creating a destination table automatically

NOW AVAILABLE

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
  • Features
Sep 18

Azure Data Factory now supports copying data into Azure Database for MySQL

NOW AVAILABLE

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
  • Azure Database for MySQL
  • Features
Sep 9

Copy data from Netezza to Azure with Azure Data Factory

NOW AVAILABLE

Azure Data Factory now provides built-in data partitioning to copy data from Netezza.

  • Azure Data Factory
  • Features

August 2019

Aug 28

Azure Data Factory mapping data flows adds SQL scripts to sink transformation

NOW AVAILABLE

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.

  • Azure Data Factory
  • Features
Aug 5

Gantt Views for monitoring data factory pipelines are now available

Gantt views are now available for monitoring data factory pipelines.

  • Azure Data Factory
  • Data Factory V2
  • Services
  • Features
Aug 5

Create dependencies among pipelines in your Azure Data Factories

NOW AVAILABLE

Create dependent pipelines in your Azure Data Factories by adding dependencies among tumbling window triggers in your pipelines.

  • Azure Data Factory
  • Data Factory V2
  • Services
  • Features

July 2019

Jul 3

Azure Data Factory Mapping Data Flows public preview adds parameter support

IN PREVIEW

Azure Data Factory Mapping Data Flows provides a code-free design environment for building and operationalizing ETL data transformations at scale. Now, the ADF team has added parameter support for Data Flows, enabling flexible & reusable data flows that can be called dynamically from pipelines.

  • Azure Data Factory
  • Features
Jul 3

Azure Data Factory upgrades Teradata connector to enable new features and enhancement

NOW AVAILABLE

Azure Data Factory upgraded the Teradata connector with new feature adds and enhancement, including built-in Teradata driver, out-of-box data partitioning to performantly ingest data from Teradata in parallel, and more.

  • Azure Data Factory
  • Features
Jul 1

Azure Data Factory logs now available as dedicated tables in Azure Monitor Logs

NOW AVAILABLE

A new logging mode in Diagnostic Settings for an Azure Logs target, starting with Azure Data Factory, will allow you to take advantage of improved ingestion latency, query performance, data discoverability, and more!

  • Log Analytics
  • Azure Data Factory
  • Features

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