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

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

Daniel Poppy

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.

Share this article
The dbt Community

Join the largest community shaping data

The dbt Community is your gateway to best practices, innovation, and direct collaboration with thousands of data leaders and AI practitioners worldwide. Ask questions, share insights, and build better with the experts.

100,000+active members
50k+teams using dbt weekly
50+Community meetups