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How to Power Data 360 with Code Extension

www.salesforce.com· ·Advanced ·Architect ·12 min read
Summary

Code Extension enables architects and developers to securely run complex Python code within Salesforce Data 360, avoiding risks from exporting data externally. It supports batch data transformations and custom chunking for unstructured data, improving data processing without leaving Salesforce’s trusted environment. By leveraging distributed Spark clusters and strict security layers, it handles high-volume data with performance and compliance in mind. Teams can extend Data 360’s native features with advanced Python logic for improved AI accuracy and enhanced governance.

Takeaways
  • Use Code Extension Scripts for complex batch data transformations inside Data 360.
  • Apply Code Extension Functions to implement custom chunking logic respecting data structure.
  • Leverage distributed Spark clusters for high-performance processing at enterprise scale.
  • Develop and test Python code locally but deploy with enforced security gates and isolation.
  • Ensure governance by running all custom code within Salesforce’s security trust boundary.

Code Extension resolves a dilemma an architect faces: the need to operationalize complex data manipulations without leaving the Salesforce trust boundary. Traditionally, handling advanced requirements like parsing complex XML, managing encrypted data, or designing custom AI chunking algorithms, led architects to export data to external systems or rely on unmanaged local scripts. Moving the data to perform advanced processing on it introduces risks, including rogue code security vulnerabilities, and compliance deviations (for example, GDPR and HIPAA). Code Extension is a game changer by providing a secure, native Python runtime directly all within Data 360 . What is Code Extension? Code Extension is designed to handle scenarios that no code or low code cannot. They are pro-code capabilities that allow you to transform and process data using native Python execution. As an architect, you must determine the correct execution type based on your specific capabilities and business needs.

Data CloudSalesforce ArchitectureSecurity & Access Model