Copy Multiple Tables In Bulk By Using Azure Data Factory

Azure Data Factory is a powerful tool that allows users to create, schedule, and manage data pipelines for moving and transforming data. One common task that users may need to perform is copying multiple tables in bulk from one location to another. In this article, we will explore how to achieve this using Azure Data Factory.

By copying multiple tables in bulk, users can save time and effort by automating the process of moving data between different sources. This can be especially useful when working with large datasets or when needing to transfer data between different databases or storage systems.

Copy Multiple Tables In Bulk By Using Azure Data Factory

Step 1: Create a Data Factory Pipeline

The first step in copying multiple tables in bulk using Azure Data Factory is to create a new data factory pipeline. A pipeline is a series of activities that define the flow of data from source to destination. To create a new pipeline, navigate to the Azure Data Factory portal and click on the “Author & Monitor” tab.

From the Author tab, click on the “+” button to create a new pipeline. Give your pipeline a name and add any necessary datasets and linked services that you will need to connect to your source and destination data sources. Once your pipeline is set up, you can begin adding activities to copy your tables in bulk.

Step 2: Add Copy Data Activity

Once you have created your pipeline, the next step is to add a “Copy Data” activity to the pipeline. This activity will define the source and destination tables that you want to copy in bulk. To add a Copy Data activity, click on the “+” button within your pipeline and select “Copy Data” from the list of activities.

Within the Copy Data activity, you can specify the source and destination datasets for each table that you want to copy. You can also configure any transformations or mappings that you may need to apply during the copy process. Once you have configured the activity for one table, you can duplicate it for each additional table that you want to copy in bulk.

By following these steps, users can easily copy multiple tables in bulk by using Azure Data Factory. This can help streamline data migration processes and save time and effort when working with large datasets. With the power and flexibility of Azure Data Factory, users can create efficient and reliable data pipelines for moving and transforming data across different sources and destinations.