Data Modeling and Source Mapping in Salesforce Data Cloud

Fragmented customer data across multiple platforms makes it difficult to deliver personalized experiences and gain clear business insights. This text-based course guides you through the essential processes of organizing, modeling, and connecting your external data sources to build a unified customer profile. You will start with the fundamental terminology of data ingestion and progress to designing robust schemas that scale with your business needs. By studying practical scenarios and structured explanations, you will gain the confidence to align diverse datasets with industry-standard schemas. What you'll learn: - Understand foundational Customer Data Platform concepts and the standard data model architecture. - Map external data sources to standard and custom data model objects. - Establish clear data relationships and join keys to ensure data integrity. - Apply modern identity resolution rules to unify duplicate records into a single customer profile. - Integrate data privacy and compliance standards directly into your mapping workflow. - Implement best practices for troubleshooting mapping errors and scaling your data model. The course begins with essential definitions and core data modeling principles before moving into step-by-step mapping strategies and profile unification workflows. Designed entirely for beginners, this course requires no prior experience with data engineering or cloud administration. Start building a cleaner, more connected data ecosystem today.