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Before the SSIS package can be deployed to Azure Data Factory we need to provision Azure-SQL Server Integration Service (SSIS) runtime (IR) in Azure Data Factory.
In the previous posts, we had created an Azure data factory instance had used Azure SQL Database as the source.
Within Azure Data Factory in the Let’s get started page, select Configure SSIS Integration.
Specify the appropriate values to integration runtime.
Select Create SSIS Catalog option to deploy packages in SSISDB, provide Azure SQL Database server endpoint, and the admin credentials to connect.
Test the connection.
Specify advanced settings as appropriate.
This starts the creation of Azure-SSIS Integration Runtime.
Meanwhile below is our SSIS package that we would be deploying to Azure Data Factory.
It extracts a text file named contacts.txt from the blob source and loads it into destination blog storage.
Right-click the project and select Deploy.
(Deploying individual package is not supported right now)
Select SSIS in Azure Data Factory.
Specify Server name and credentials and connect.
Click on Browse.
Create a new folder or select an existing folder and click on Ok
Once the validation is successful, click on Deploy and start the deployment.
After successful deployment, create a new pipeline in the Azure Data Factory, and drag the Execute SSIS Package activity
Connect to the package deployed.
Click on debug to trigger and test the pipeline.
On the successful run, we can see the contact.txt file extracted from mycontainer1 and loaded to mycontainer2.
Hope it helps..