Dagster and dbt are complementary technologies used to build data transformations in an intuitive, testable, and versioned environment. dbt enables users to define well-defined data transformations using templated SQL, forming a dependency graph between the transformations. Dagster orchestrates these transformations alongside other technologies, providing operational and data observability capabilities. The integration allows engineers to monitor dbt model execution in the same tool they use to monitor other technologies, with historical and longitudinal views of operations. This enables explicit modeling of dependencies between dbt models and processes that use other technologies, scheduling and executing pipelines that include both dbt and other technologies, and monitoring dbt models alongside other processes. The Dagster-dbt integration is available in the dbt docs and dagster-dbt integration documentation.