Azure Data Factory Job parameters

Azure Data Factory is a cloud-based ETL and data integration service that allows you to create data-driven workflows to automate the movement and transformation of data.

The following table describes Azure Data Factory Job parameters.

Parameter

Description

Connection profile

Determines which connection profile is used to connect to Azure Cloud

Resource Group Name

Determines the Azure Resource Group that is associated with a specific data factory. A resource group is a container that holds related resources for an Azure solution. The resource group can include all the resources for the solution, or only those resources that you want to manage as a group.

Data Factory Name

Determines the name of the Azure Data Factory that contains the pipeline you want to run.

Pipeline Name

Determines which data pipeline runs when the Control-M job is executed

Parameters

Defines specific parameters in JSON format that are passed when the Data Pipeline runs.

Format: {"var1":"value1", "var2":"value2"}

Status Polling Frequency

(Optional) Determines the number of seconds to wait before checking the status of the job between intervals.

Default: 15

Parent Topic

Job types