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Data Space Aware Objects and Features
User access to data space-aware objects and features is controlled by setting the object permissions and feature permissions in the user's permission sets. Not all objects and features are data space aware.
These objects are data space aware.
- Data lake objects (DLOs)
- Data model objects (DMOs)
- Calculated insight objects (CIOs)
- Data graphs
These Data Cloud features are data space aware.
- Data shares
- Data graphs
- Identity resolution
- Calculated insights
- Einstein Studio AI models
- Data actions
- Segmentation
- Activation
- Data semantic search
- Search Index
If you have View All Records and Modify All Records permissions on the primary object for a feature, you can view the object metadata regardless of the data space scope access.
Billing Considerations for Data Space-Aware Features
For billing purposes, all records in a source object are counted even if a downstream process uses a filtered version of the object associated with a specific data space. This is because the data space-specific version of the object is a virtual view of its source object. Queries to a data space-specific object return a filtered view of the source object’s data that is created from all records stored in the object.
Suppose a data lake object (DLO) with 100 records is associated with two different data spaces. In one data space, the filtered view of the DLO contains 75 records. In the second data space, the filtered view of the DLO contains 50 records. However, the number of records counted for billing purposes is 100 records.
Suppose a data lake object (DLO) that contains 50 records is created within a specific data space. It isn’t associated with any other data spaces. The number of records counted for billing purposes is 50.
