Execute Pipeline Activity in Azure Data Factory

1. 31- Azure Data Factory
 Execute Pipeline Activity in azure data factory
 Demo- Execute Pipeline Activity
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2. Execute Pipeline Activity:
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In Azure Data Factory, the "Execute Pipeline" activity is a built-in activity that enables you
to invoke and execute another pipeline within your Data Factory.
This activity is commonly used when you have a complex workflow that is composed of
multiple pipelines. Instead of running each pipeline separately, you can use the "Execute
Pipeline" activity to chain them together and automate the workflow.
The "Execute Pipeline" activity requires you to specify the name of the pipeline that you
want to execute, as well as any input parameters that are required by that pipeline. You
can also specify other settings such as the condition under which the activity should
execute, or any error handling behavior.
Once you've configured the "Execute Pipeline" activity, you can include it in a pipeline and
run it as part of the pipeline workflow. When the activity is executed, it will trigger the
specified pipeline and pass in any input parameters as required. The execution of the main
pipeline will wait for the completion of the invoked pipeline before continuing the
execution.
The "Execute Pipeline" activity can be used in complex workflows to modularize and reuse
pipeline components, making it easier to maintain and scale your Data Factory.

3. Execute Pipeline Activity:
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This scenario has two pipelines:
Master pipeline - This pipeline has one Execute Pipeline activity that calls the invoked
pipeline. The master pipeline takes two parameters: masterSourceBlobContainer,
masterSinkBlobContainer.
Invoked pipeline - This pipeline has one Copy activity that copies data from an Azure Blob
source to Azure Blob sink. The invoked pipeline takes two parameters:
sourceBlobContainer, sinkBlobContainer.
https://learn.microsoft.com/en-us/azure/data-factory/control-flow-append-variable-activity

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