What do the dbt 'tags' feature allow you to do?

The dbt 'tags' feature is designed to help categorize models within your project, enabling easier identification and grouping. By assigning tags to models, you can organize them based on different criteria, such as purpose, data domain, or project phase. This organization aids in managing your data transformation workflows more effectively, as it allows team members to quickly understand the context and relevance of various models without needing to dive into detailed descriptions.

When you utilize tags, it also enhances the usability of tools and commands within dbt. For example, you can filter models in your documentation or during execution based on tags, which streamlines processes for larger projects where there may be many models. This organizational structure leads to improved collaboration among team members, ensuring everyone is on the same page regarding the purpose and function of each model within the project.