Which augmentation type only moves data from the source to the embedded Autonomous Database, while other types can move data and modify subject areas?

Which augmentation type only moves data from the source to the embedded Autonomous Database, while other types can move data and modify subject areas?

• A. Semantic augmentation
• B. Dataset augmentation
• C. Full augmentation
• D. Hybrid augmentation

Answer: (B)

Data augmentation types describe how much the domain model gets changed when you bring in new data. The one that moves data from the source into the embedded Autonomous Database without touching or altering the subject areas is dataset augmentation. It focuses solely on data transfer, keeping the semantic structure and mappings intact. Semantic augmentation, on the other hand, adds semantic enrichments to the data, which involves updating or extending the subject areas with ontologies or mappings. Full augmentation goes beyond data movement by making broader changes to the subject areas themselves, altering the domain model as data is integrated. Hybrid augmentation combines data movement with some subject-area changes, blending aspects of both approaches. So the correct type is dataset augmentation because it transfers data without modifying the subject areas.

Data augmentation types describe how much the domain model gets changed when you bring in new data. The one that moves data from the source into the embedded Autonomous Database without touching or altering the subject areas is dataset augmentation. It focuses solely on data transfer, keeping the semantic structure and mappings intact.

Semantic augmentation, on the other hand, adds semantic enrichments to the data, which involves updating or extending the subject areas with ontologies or mappings. Full augmentation goes beyond data movement by making broader changes to the subject areas themselves, altering the domain model as data is integrated. Hybrid augmentation combines data movement with some subject-area changes, blending aspects of both approaches.

So the correct type is dataset augmentation because it transfers data without modifying the subject areas.