Building a robust data pipeline with dbt, Airflow, and Great Expectations

Last edited on Oct 21, 2024
How do dbt and Great Expectations complement each other? This talk will outline a convenient pattern for using these tools together and highlight where each one can play its strengths: Data pipelines are built and tested during development using dbt, while Great Expectations can handle data validation, pipeline control flow, and alerting in a production environment.
Get started in dbt
Join the analytics engineers building data infrastructure that actually scales.
Install dbt Wizard CLI
Get started with an agent purpose-built for analytics engineering. It knows which tool to call, which context to pull, and checks its own work before surfacing anything to you.




