Add Exposures to your DAG

Exposures make it possible to define and describe a downstream use of your dbt project, such as in a dashboard, application, or data science pipeline. By defining exposures, you can then:

• run, test, and list resources that feed into your exposure
• populate a dedicated page in the auto-generated documentation site with context relevant to data consumers

Declaring an exposure

Exposures are defined in .yml files nested under an exposures: key.

Available properties

Required:

• name: a unique exposure name written in snake case
• type: one of dashboard, notebook, analysis, ml, application (used to organize in docs site)
• owner: name or email required; additional properties allowed

Optional:

• label: may contain spaces, capital letters, or special characters.
• url: enables the link to View this exposure in the upper right corner of the generated documentation site
• maturity: one of high, medium, low

General properties (optional)

• description
• tags
• meta

We plan to add more subtypes and optional properties in future releases.

Referencing exposures

Once an exposure is defined, you can run commands that reference it:

dbt run -s +exposure:weekly_jaffle_report
dbt test -s +exposure:weekly_jaffle_report

When we generate our documentation site, you'll see the exposure appear:

Dedicated page in dbt-docs for each exposureExposures appear as orange-y nodes in the DAG

Related docs

• Exposure properties
• exposure: selection method
• Dashboard status tiles