Learn how to use Code Extension to run custom Python code on your Data 360 data. Discover the end-to-end process from authoring to monitoring, and unlock new use cases.
Dreamforce passes are going fast. Don’t miss the most valuable event in business. Register now.
Register to join Dreamforce in San Francisco, or stream it free on Salesforce+.
Dreamforce is almost here and passes are going fast. Don’t miss your last chance to save $400 by September 26.
Sessions
Explore Dreamforce 2025 sessions.
Browse 1,600+ sessions from 2025 by role, topic, or industry and get inspired for the innovation coming to Dreamforce 2026.
Extend Data 360 Features with Your Own Code
Required equipment: Salesforce Events Mobile App required. Please bring your headphones and use Live Session Audio to hear audio and view captions.
, Director, Developer Advocacy, Salesforce
, Associate Product Manager, Salesforce
Role: Developer
Product: Data 360
Session Level: Beginner
Session Type: Theater
Session Summary: This session introduced the new code extension capabilities in Salesforce Data 360, designed to empower users to customize and extend Data 360 features using their own code. The feature addresses key challenges such as handling complex business-specific transformations, processing unique document structures, and enabling more control for data engineers and scientists. By supporting Python scripts and functions, users can now author, debug, and deploy their code directly in their preferred IDE, with tools provided to integrate seamlessly with Data 360. The beta release for batch data transforms is scheduled for November 2025, with additional features like chunking strategies launching in early 2026, offering businesses unparalleled flexibility in managing and transforming their data within Salesforce's ecosystem.
Key Takeaways:
• Code extensions in Data 360 eliminate the need for external systems by allowing users to perform advanced transformations and customizations directly within the platform, reducing costs and maintenance overheads.
• Two execution patterns—scripts for end-to-end customization and functions for partial feature customization—enable businesses to tailor Data 360 functionality to their unique requirements while leveraging existing tools and APIs.
• The upcoming beta release will initially support batch data transforms, with future updates expanding to other use cases, offering significant opportunities for businesses to optimize data processing and enhance decision-making.
Session Summary Feedback: Report a Concern
