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Create Pipeline in Azure Data Factory

ADF Pipelines

In this blog you will understand “How to create a pipeline to copy data from Azure SQL Database table to Azure Blob Storage?”

A data factory might have one or more pipelines. A pipeline is a logical grouping of activities that performs a unit of work.

Here, you create and validate a pipeline with a copy activity that uses the input and output datasets.

The copy activity copies data from the Azure SQL Database Table you specified in the input dataset settings to the file you specified in the output dataset settings.

Prerequisites

Following these steps

Step-1: Click on Author Tab(Pencil Icon) > Mouseover the Pipelines > click on ellipsis icon > select New pipeline.

Create a Pipeline

Create a Pipeline

Step-2: Pipelines property windows appears in right side screen. Assign the name to Pipeline.



In the Activities toolbox, expand Move & Transform. Drag the Copy Data activity from the Activities toolbox to the pipeline designer surface.

Setup Pipeline in Azure Portal

Setup Pipeline in Azure Portal

Step-3: Now switch to Source tab and select source dataset.

Source

Source

Step-4: Now Switch to Sink tab and select Destination Dataset.

Output Dataset Destination

Output Dataset Destination



Step-5: Now click on Validate button.

Validate Pipelines

Validate Pipelines

Step-6: After validation, click on Debug button to trigger the current pipeline for test run.

Debug Pipeline

Debug Pipeline

Step-7: Debug Status.

Debug Status

Debug Status



Step-8: After that click on Publish All > then Publish.

Step-9: Now you can check the output folder of the container, you will see the file.

Final Result

Final Result

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