What types of resources does the dbt build command run in DAG order?

The dbt build command is instrumental in managing the dependencies among various resources in a dbt project. It runs models, tests, snapshots, and seeds in a directed acyclic graph (DAG) order, ensuring that resources are executed in the correct sequence based on their dependencies.

Models are the primary resources in dbt, transforming raw data into insights. Tests verify the integrity of data or the assumptions made about it, guaranteeing quality within the data pipeline. Snapshots allow for versioning and historical tracking of records, while seeds facilitate the loading of static data into the warehouse.

By executing these resources in DAG order, dbt effectively manages the order of processing, ensuring that dependencies are respected—this means that if a model depends on another model, dbt will ensure the dependent model is run first. This approach enhances the efficiency and reliability of data transformation workflows.