Apache Airflow is a platform designed for the programmable creation, scheduling, and monitoring of workflows. It provides a robust framework for orchestrating complex data pipelines, allowing users to define workflows as code, schedule their execution, and monitor their progress through a user-friendly interface. With Airflow, users can efficiently manage dependencies between tasks, handle task retries and failures, and gain insights into workflow performance through rich visualization and logging features. It supports a wide range of integrations and is highly extensible, making it suitable for various data engineering and data science use cases.
