Description
Analytics transformations can be built, tested, documented, and versioned with software-engineering practices. This is useful for data teams turning warehouse tables into reliable models and reports.
dbt projects can run SQL against production warehouses and change downstream metrics. Review profiles, target environments, credentials, and model selection before executing jobs.