* Introduction to Data Harmonization:
Data harmonization is the process of bringing together data from different sources and making it consistent.
Reference:
* 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.
* 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."
* 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.