Scaling dbt Docs with an Automated Data Catalog

dbt Docs provides a framework for documenting data models, sources, and columns within dbt projects, using YAML files to define and maintain documentation that can be surfaced in BI tools and other platforms. As projects scale, challenges such as maintaining up-to-date documentation, ensuring accessibility for non-technical users, and preventing drift between different tools and documentation sites arise. A hybrid approach, integrating dbt with an automated data catalog like Select Star, is recommended to manage these challenges by drafting in the catalog and syncing updates back to dbt through daily pull requests, ensuring consistency and visibility across the data stack. This approach emphasizes treating documentation like code, with changes managed through pull requests, and encourages placing definitions where users work, such as in BI tool tooltips and lineage displays, to improve engagement and trust. Select Star's dbt Docs Sync supports this by providing a seamless integration that synchronizes documentation changes across platforms, reducing fragmentation and making analytics more consistent and discoverable.