data360-schema-get

To retrieve Salesforce Data Cloud schemas, you can list all Data Lake Objects and Data Model Objects or inspect specific fields, labels, record counts, and dataspace details using REST SSOT endpoints via Python requests.

Yes, you can list all available DLOs and DMOs in a connected Salesforce org. The schema discovery process validates connectivity using SF CLI authentication and fetches object metadata directly from Data Cloud REST endpoints.

Schema inspection for a specific Salesforce Data Cloud object retrieves detailed field definitions, data types, primary key flags, nullable status, categories, record counts, and dataspace information.

Yes, SF CLI authentication is required. The schema retrieval process uses SF CLI to validate connectivity and authenticate Python requests-based scripts before fetching DLO and DMO metadata from Salesforce REST SSOT endpoints.

You validate Salesforce Data Cloud object structure by retrieving schema metadata for specific DLOs or DMOs. This confirms field definitions, data types, and primary key flags before you build downstream mappings, queries, or segments.

The best way to inspect Data Cloud record counts and dataspace information is to query the REST SSOT endpoints for a specific DLO or DMO, which returns the object's metadata along with operational details.