dbt became the de facto for data teams building reliable and trustworthy SQL code leveraging a modern data stack architecture. The dbt logic needs to be orchestrated, and jobs scheduled to meet business expectations. That’s where Airflow comes into play.
In this quick introduction session, you’ll gonna learn:
How to leverage dbt-Core & Airflow to orchestrate pipelines
Write DAGs in a Pythonic way
Apply best practices on your jobs
