The Javatpoint tutorial walks you through practical implementation steps: 1. Creating an Azure Data Factory Instance

Azure Data Factory: A Comprehensive Guide (Javatpoint Approach)

: Think of these as connection strings that define the information needed to connect to external resources, such as an Azure SQL Database or a Blob Storage account.

In the tab of the activity, select your Source Dataset. In the Sink tab, select your Destination Dataset. Step 6: Debug and Publish Click Debug to test the pipeline. If successful, click Publish all to save your changes. 5. Limitations of Azure Data Factory

Datasets represent data structures within the data stores. They simply point to or reference the data you want to use in your activities as inputs or outputs. For example, an Azure Blob dataset specifies the blob container and folder from which the pipeline should read the data. 4. Linked Services

Click the icon in the Author tab and select Pipeline -> Pipeline .