Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines for transferring data between various sources and destinations. To transfer data from Salesforce to Salesforce using ADF, you can follow these steps:
Create a Salesforce source dataset: To create a Salesforce source dataset, you will need to provide the necessary credentials and access to the Salesforce instance that you want to extract data from.
Create a Salesforce sink dataset: To create a Salesforce sink dataset, you will need to provide the necessary credentials and access to the Salesforce instance that you want to load data into.
Create a pipeline: In ADF, a pipeline defines the series of activities that you want to execute to move data from the source to the sink. You can create a new pipeline and drag and drop the Salesforce source and sink datasets onto the design canvas.
Configure the Copy Data activity: In the pipeline, you can add a Copy Data activity to define the data transfer process. Within the Copy Data activity, you can configure the mapping of the source data to the destination data and specify any transformations or filters that you want to apply.
Run the pipeline: Once you have configured the pipeline and the Copy Data activity, you can trigger the pipeline to run and transfer data from the source Salesforce instance to the destination Salesforce instance.
Monitor the pipeline: ADF provides various monitoring and logging capabilities to help you track the progress and status of your pipeline. You can view pipeline metrics, job execution history, and error logs to troubleshoot any issues.
.
