dbt-score is a linter for dbt model metadata.
dbt (Data Build Tool) is a great framework for creating, building, organizing, testing and documenting data models, i.e. data sets living in a database or a data warehouse. Through a declarative approach, it allows data practitioners to build data with a methodology inspired by software development practices.
This leads to data models being bundled with a lot of metadata, such as
documentation, data tests, access control information, column types and
constraints, 3rd party integrations... Not to mention any other metadata that
organizations need, fully supported through the meta parameter.
At scale, with hundreds or thousands of data models, all this metadata can
become confusing, disparate, and inconsistent. It's hard to enforce good
practices and maintain them in continuous integration systems. This is
wheredbt-score plays its role: by allowing data teams to programmatically
define and enforce metadata rules, in an easy and scalable manner.
Everything you need (and more) can be found in dbt-score documentation
website.
Would you like to contribute to dbt-score? That's great news! Please follow
the guide on the documentation website. 🚀