Implements advanced Salesforce Data Cloud integration patterns and architecture using 2025 industry standards.
This skill provides specialized guidance for architecting and implementing Salesforce Data Cloud solutions, focusing on the latest 2025 features like Zero Copy architecture, Vector Databases, and Hybrid Search. It enables Claude to generate precise technical patterns for real-time data ingestion via Change Data Capture, complex identity resolution rules, and high-performance activations through Agentforce and Salesforce Flow. Whether you are connecting external data lakes like Snowflake or building AI-ready unified customer profiles, this skill ensures your implementation follows modern best practices while maintaining strict repository cleanliness and Windows-compatible development standards.
주요 기능
01Implements 2025 AI features including Vector Database storage and Hybrid Search logic.
02Architects Zero Copy integrations for Snowflake, Databricks, and BigQuery without data movement.
037 GitHub stars
04Generates optimized Apex and Python code for Data Cloud Query and Bulk Ingestion APIs.
05Configures real-time streaming patterns using Salesforce Change Data Capture (CDC) and Platform Events.
06Defines Identity Resolution match and reconciliation rules for unified customer profiles.
사용 사례
01Developing AI-driven automation triggered by real-time calculated insights and customer behavior.
02Building a real-time Customer Data Platform (CDP) that unifies disparate legacy system data.
03Implementing 'Zero Copy' data strategies to query external warehouses directly within Salesforce.
