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Azure Data Factory: Schedule, Trigger, and Monitor

Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor
Azure Data Factory: Schedule, Trigger, and Monitor

USD$ 0.00*

Annual Subscription

Compatibility
Product number: SB10108.2
by Stonebranch
Free
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.  

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. 
  • 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.

 

Product Component: Universal Agent, Universal Controller
Vendor: Microsoft
Type: Free
Compatibility : UC/UA 6.9 and above
Support: Community Created
Please visit this link to find key features, prerequisites, installation instructions, configuration instructions, and examples of how to use this integration.