Introduction to Data Harmonization:
Data harmonization is the process of bringing together data from different sources and making it consistent.
[Reference: Salesforce Data Harmonization Overview, Mapping Different Schema Points:, In Data Cloud, different schemas may refer to the same entity using different names (e.g., user, contact, subscriber)., Harmonization involves standardizing these different terms into a single, consistent schema., Reference: Salesforce Schema Mapping Guide, Process of Harmonization:, Identify Variations: Recognize the different names and fields referring to the same entity across schemas., Standard Mapping: Create a standard data model and map the various schema points to this model., Example: Mapping “user”, “contact”, and “subscriber” to a single standard entity like “Customer.”, Reference: Salesforce Data Model Harmonization Documentation, Steps to Harmonize Data:, Define a standard data model., Map the fields from different schemas to this standard model., Ensure consistency across the data ecosystem., Reference: Salesforce Data Harmonization Best Practices, , ]
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