CREATE LINKED SERVICES AND FIRST PIPELINE SESSION-7
To create linked services and a pipeline in Azure Data Factory, you can follow these steps:
1. Sign in to the Azure portal (portal.azure.com) using your Azure account.
2. In the Azure portal, search for and open "Azure Data Factory."
3. In the Azure Data Factory page, click on your Data Factory instance or create a new one if you haven't done so already.
4. In your Data Factory instance, navigate to the "Author & Monitor" section.
5. Click on the "Author" button to open the Data Factory authoring environment.
6. In the authoring environment, click on the "Manage" tab on the left side and select "Linked services."
7. Click on the "+ New" button to create a new linked service.
8. Choose the appropriate type of linked service based on your data source or destination. For example, if you want to connect to Azure Blob Storage, select "Azure Blob Storage" as the linked service type.
9. Provide the necessary information to configure the linked service, such as connection details, authentication method, and other required settings. Follow the specific configuration steps for the chosen linked service type.
10. Click on the "Test connection" button to validate the connection to the data source or destination.
11. Once the linked service is configured and tested successfully, click on the "Create" button to create the linked service.
12. Repeat steps 7-11 as needed to create additional linked services for other data sources or destinations.
Now, let's create a simple pipeline:
1. In the authoring environment, click on the "Author & Monitor" tab on the left side and select "Author."
2. Click on the "+ New pipeline" button to create a new pipeline.
3. Give your pipeline a name and optionally provide a description.
4. Drag and drop activities from the "Activities" pane on the left side onto the canvas to define the actions of your pipeline. For example, you can add a Copy Data activity to copy data from one data source to another.
5. Configure each activity by providing the necessary details such as input/output datasets, linked services, and any transformations or settings required.
6. Connect the activities in the pipeline by dragging the output of one activity to the input of another.
7. Once you have defined the activities and their connections, click on the "Publish all" button to publish your pipeline.
8. After publishing, you can trigger the pipeline manually or schedule it to run at specific intervals.
These steps provide a general overview of creating linked services and a pipeline in Azure Data Factory. The specific configuration and settings may vary depending on your data sources, destinations, and requirements. Make sure to consult the Azure Data Factory documentation for detailed information on configuring specific linked services and activities.