Granular Usage Attribution for dbt Pipelines with Query Tags

This Databricks resource explains how to implement granular usage attribution in dbt data transformation pipelines using query tags, enabling detailed tracking of compute resources and costs at a fine-grained level. Query tags allow organizations to label and monitor specific dbt models, jobs, or projects to better understand resource consumption and optimize pipeline efficiency. This approach helps data teams gain visibility into which transformations consume the most resources and supports more accurate cost allocation and governance.

Source: Databricks | 2026-07-01