metadata-ingestion/docs/sources/sagemaker/README.md
Sagemaker is a machine learning platform. Learn more in the official Sagemaker documentation.
The DataHub integration for Sagemaker covers ML entities such as models, features, and related lineage metadata. Depending on module capabilities, it can also capture features such as lineage, usage, profiling, ownership, tags, and stateful deletion detection.
While the specific concept mapping is still pending, this shows the generic concept mapping in DataHub.
| Source Concept | DataHub Concept | Notes |
|---|---|---|
| Platform/account/project scope | Platform Instance, Container | Organizes assets within the platform context. |
| Core technical asset (for example table/view/topic/file) | Dataset | Primary ingested technical asset. |
| Schema fields / columns | SchemaField | Included when schema extraction is supported. |
| Ownership and collaboration principals | CorpUser, CorpGroup | Emitted by modules that support ownership and identity metadata. |
| Dependencies and processing relationships | Lineage edges | Available when lineage extraction is supported and enabled. |