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- What is parameterization in Azure Data Factory?
- How do you parameterize the pipeline in Azure Data Factory?
- How do I pass parameters to dataset in Azure Data Factory?
- How to create parameterized linked service in Azure Data Factory?
What is parameterization in Azure Data Factory?
Parameter and expression concepts
You can use parameters to pass external values into pipelines, datasets, linked services, and data flows. Once the parameter has been passed into the resource, it cannot be changed. By parameterizing resources, you can reuse them with different values each time.
How do you parameterize the pipeline in Azure Data Factory?
To add parameters to your data flow, click on the blank portion of the data flow canvas to see the general properties. In the settings pane, you will see a tab called Parameter. Select New to generate a new parameter. For each parameter, you must assign a name, select a type, and optionally set a default value.
How do I pass parameters to dataset in Azure Data Factory?
LINKED SERVICE PARAMETERS
I had to go to linked service in the monitor tab of ADF and create a new linked service. When you create a new linked service , you will see the option of parameters when you scroll down to the bottom. You can add your connection parameters there.
How to create parameterized linked service in Azure Data Factory?
Create Linked Service:
Find and select Azure SQL database, then click on continue. Name your linked service, select your Azure subscription, then go all the way down and click on parameters, click on the + New button, name your parameter, select the type, then provide the value.
