Collaborate from a foundation of shared understanding.
Understanding how metrics like “ARR” are defined, and what source data they depend on, should not require a ticket or a DM.
dbt docs helps everyone in your organization, including business users, answer everyday questions about datasets.
dbt allows you to generate a fresh docs site alongside each run of your data transformations.
Dig into the field + table descriptions annotated by your collaborators.
Trace the provenance of a column or table back through your project's dependency graph.
Investigate whether raw source data is fresh or stale.
Pop into the data model itself for ad-hoc investigation while browsing docs.
dbt docs allow you to codify your organization's critical communication workflows.
Set rules for data freshness requirements, to align with your team's SLAs
Once configured, any errors or warnings will appear in the source freshness report within dbt Cloud's hosted documentation.
Exposures allow contributors to trace the status of the upstream dbt models that their reports & analysis workflows depend on.
dbt automatically infers your dependency graph as you code, eliminating the drain of manual dependency tracing.
This allows you to proactively work with any stakeholders who may be affected by your modeling updates.