What are the best practices for testing and debugging data pipelines with Pytest and Airflow?
Data pipelines are complex and dynamic systems that require rigorous testing and debugging to ensure data quality, reliability, and performance. Pytest and Airflow are two popular tools that can help data engineers create, run, and monitor data pipelines with ease and confidence. In this article, you will learn some of the best practices for testing and debugging data pipelines with Pytest and Airflow, such as: