What are the three DataRaptor flavors and their primary purpose?

What are the three DataRaptor flavors and their primary purpose?

• A. Read, Process, Store.
• B. Acquire, Convert, Save
• C. Extract, Enrich, Load
• D. Extract (read data), Transform (map/compute), and Load (write data back to Salesforce).

Answer: (D)

DataRaptor in OmniStudio follows an ETL-style flow, with three flavors that handle different parts of data movement. Extract is used to read data from Salesforce or other sources, bringing in the fields you need. Transform takes that data and maps fields, applies calculations or formulas, and prepares the data layout for saving. Load then writes the prepared data back to Salesforce (creating or updating records) or to the target system. The other phrasing doesn’t match the official names or duties: Acquire/Convert/Save, Enrich, or Read/Process/Store describe different terminology or roles than the standard Extract/Transform/Load trio.

DataRaptor in OmniStudio follows an ETL-style flow, with three flavors that handle different parts of data movement. Extract is used to read data from Salesforce or other sources, bringing in the fields you need. Transform takes that data and maps fields, applies calculations or formulas, and prepares the data layout for saving. Load then writes the prepared data back to Salesforce (creating or updating records) or to the target system.

The other phrasing doesn’t match the official names or duties: Acquire/Convert/Save, Enrich, or Read/Process/Store describe different terminology or roles than the standard Extract/Transform/Load trio.