With code extension in Data 360, you can create batch data transforms using your custom Python code. If native batch data transforms don't meet your business requirements, use code extension to author, debug, and deploy your transform logic and then create batch data transforms that use the deployed logic.
Why: Code extension gives you the flexibility to create batch data transforms using
custom logic that the native visual transform builder doesn't support. For example, you need
windowed percentiles on engagement data, such as email opens and site visits, and text similarity
on lead notes to match your ideal customer profile. With Code Extension, you can create batch
data transforms that use Python libraries, such as scikit-learn and
difflib, in your custom transform logic to calculate windowed percentiles and
text similarity.
Where: This change applies to Data 360 Enterprise, Performance, Developer, and Unlimited editions. Not available in Government Cloud.
When: This feature is available starting in May 2026.
How: In Data 360, on the Data Transforms tab, click New. Select Create From Code Extension, and click Next. Enter a name and API name for your batch transform, select your deployed code extension from the list, and then save.