Apache Airflow is a system for scheduling and monitoring workflows for data engineering. Airflow can be used to schedule ETL jobs, machine learning work, and script execution. Airflow also gives a developer a high level view into the graph of dependencies for their data pipelines.

Chaim Turkel is a backend data architect at Tikal. He joins the show to discuss a case study of using Airflow to rearchitect the data engineering workflow of a complex financial application. We discussed the problems that Airflow solves and the process of porting existing workflows to Airflow.