Salesforce Data Cloud holds large amounts of customer information. You can use custom Python code to transform and process that data. This skill helps you build, test, and deploy those code extensions.
You can create two types of transformations. Batch transformations process data in groups. Real-time transformations work on individual events. Both types let you read from and write to Data Lake Objects and Data Model Objects.
The skill guides you through setting up a project, writing Python code, scanning for permissions, and deploying to Data Cloud. It uses the SF CLI plugin and requires Python 3.11 and Docker for deployment.
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