Project recommendations EnterpriseEnterprise +
Catalog provides recommendations about your project from the dbt_project_evaluator package using metadata from the Discovery API.
- Catalog also offers a global view, showing all the recommendations across the project for easy sorting and summarizing.
- These recommendations provide insight into how you can create a better-documented, better-tested, and better-built dbt project, creating more trust and less confusion.
- For a seamless and consistent experience, recommendations use
dbt_project_evaluator's pre-defined settings and don't import customizations applied to your package or project.
On-demand learning
If you enjoy video courses, check out our dbt Catalog on-demand course and learn how to best explore your dbt project(s)!
Recommendations page
The Recommendations overview page includes two top-level metrics measuring the test and documentation coverage of the models in your project.
- Model test coverage — The percent of models in your project (models not from a package or imported via Mesh) with at least one dbt test configured on them.
- Model documentation coverage — The percent of models in your project (models not from a package or imported via Mesh) with a description.
Example of the Recommendations overview page with project metrics and the recommendations for all resources in the projectList of rules
The following table lists the rules currently defined in the dbt_project_evaluator package.
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The Recommendations tab
Models, sources, and exposures each also have a Recommendations tab on their resource details page, with the specific recommendations that correspond to that resource:
Example of the Recommendations tab Was this page helpful?
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