How We Structure Our dbt Projects
Overview
The definitive guide from dbt Labs on structuring modern data transformation projects — the architectural patterns behind the data pipelines that feed every AI and analytics system.
Full Description
dbt (data build tool) has become the standard for SQL-based data transformation, and this official guide from dbt Labs explains how to structure production-ready data projects. The article covers the staging → intermediate → mart model layers, naming conventions, testing strategies, documentation standards, and the architectural thinking behind building maintainable data pipelines. For AI practitioners, robust data pipelines are the unglamorous but critical foundation — this guide represents the industry consensus on how to build them right. Understanding dbt architecture is essential for anyone building data systems that feed ML training or AI analytics.