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19 lines
1.4 KiB
Markdown
19 lines
1.4 KiB
Markdown
Ingesting metadata from dbt requires either using the **dbt** module or the **dbt-cloud** module.
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### Concept Mapping
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| Source Concept | DataHub Concept | Notes |
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| --------------- | ------------------------------------------------------------- | ------------------ |
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| `"dbt"` | [Data Platform](../../metamodel/entities/dataPlatform.md) | |
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| dbt Source | [Dataset](../../metamodel/entities/dataset.md) | Subtype `source` |
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| dbt Seed | [Dataset](../../metamodel/entities/dataset.md) | Subtype `seed` |
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| dbt Model | [Dataset](../../metamodel/entities/dataset.md) | Subtype `model` |
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| dbt Snapshot | [Dataset](../../metamodel/entities/dataset.md) | Subtype `snapshot` |
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| dbt Test | [Assertion](../../metamodel/entities/assertion.md) | |
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| dbt Test Result | [Assertion Run Result](../../metamodel/entities/assertion.md) | |
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Note:
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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).
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2. We also support automated actions (like add a tag, term or owner) based on properties defined in dbt meta.
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