Product information "Azure Data Factory: Schedule, Trigger, and Monitor "
This integration allows users to schedule, trigger, and monitor the Azure Data Factory pipeline process directly from the Universal Controller.Â
Key Features:
- Uses Python modules azure-mgmt-resource and azure-mgmt-datafactory to make REST API calls to Azure Data Factory.
- Use the Azure tenant ID, subscription ID, client ID, client secret, resource group, and location for authenticating the REST API calls to Azure Data Factory.Â
- Perform the following Azure Data Factory operations:
-Run a pipeline.
-Get a pipeline info.
-List all pipelines.
-Cancel pipeline run.
-List factory by resource group. - Azure Data Factory triggers user can perform the following operations from UAC:
-Start trigger.
-Stop trigger.
-List trigger by factory. - UAC also can restart a failed pipeline either from the failed step or from any activity name in the failed pipeline.Â
What's NewÂ
- Fixed: Template updated to include fields "Authenticate ADF via Certificates", "Certificate Password" and "PEM or PFX File"Â
- Fixed: Documentation updated with description of new fieldsÂ
- Fixed: Documentation compatibility updated to Agent/Controller 7.7Â
- Fixed: Documentation updated to include python dependency module azure-identity as a dependency.
| Product Component: | Universal Agent, Universal Controller |
|---|---|
| Universal Template Name: | CS Azure Data Factory |
| Version: | 1.2.1 |
| Vendor: | Microsoft |
| Type: | Free |
| Compatibility : | UC/UA 7.7 and above |
| Support: | Community Created |