Ingesting metadata from dbt requires either using the **dbt** module or the **dbt-cloud** module.

### Concept Mapping

| Source Concept  | DataHub Concept                                               | Notes              |
| --------------- | ------------------------------------------------------------- | ------------------ |
| `"dbt"`         | [Data Platform](../../metamodel/entities/dataPlatform.md)     |                    |
| dbt Source      | [Dataset](../../metamodel/entities/dataset.md)                | Subtype `source`   |
| dbt Seed        | [Dataset](../../metamodel/entities/dataset.md)                | Subtype `seed`     |
| dbt Model       | [Dataset](../../metamodel/entities/dataset.md)                | Subtype `model`    |
| dbt Snapshot    | [Dataset](../../metamodel/entities/dataset.md)                | Subtype `snapshot` |
| dbt Test        | [Assertion](../../metamodel/entities/assertion.md)            |                    |
| dbt Test Result | [Assertion Run Result](../../metamodel/entities/assertion.md) |                    |

Note:

1. It also generates lineage between the `dbt` nodes (e.g. ephemeral nodes that depend on other dbt sources) as well as lineage between the `dbt` nodes and the underlying (target) platform nodes (e.g. BigQuery Table -> dbt Source, dbt View -> BigQuery View).
2. We also support automated actions (like add a tag, term or owner) based on properties defined in dbt meta.