Azure Data Factory version 2 (V2)
Azure Data Factory version 2 (V2) allows you to create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores, process/transform the data by using compute services such as Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning, and publish output data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume. Ultimately, through Azure Data Factory, raw data can be organized into meaningful data stores and data lakes for better business decisions.
The topics under Reference node provides information about the REST API operations that are supported by version 2 of Azure Data Factory.
REST Operation Groups
|Factories||Provides operations for creating and managing data factories.|
|Linked Services||Provides operations for creating and managing linked services in a data factory.|
|Datasets||Provides operations for creating and managing datasets in a data factory.|
|Pipelines||Provides operations for creating and managing pipelines in a data factory.|
|Pipeline Runs||Provides operations for creating and managing runs of a pipeline.|
|Activity Runs||Provides operations for getting information about runs of an activity.|
|Integration Runtimes||Provides operations for managing integration runtimes.|
|Triggers||Provides operations for creating and managing triggers.|
|Operations||Provides operations for getting a list of Insights operations supported by Data Factory.|
For comprehensive documentation on version 2 of Azure Data Factory, see Azure Data Factory Version 2 documentation