Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows and data pipelines. Designed for scalability, Airflow enables users to define workflows using Python, helps in orchestrating complex data workflows and offers extensibility through custom operators and dynamic pipeline generation. It is suitable for data engineers, developers, and teams who want to automate data workflows, ETL processes, and manage operational pipelines across diverse infrastructure.
Visit Apache Airflow's official website for product details and getting started.
Comprehensive guide to getting started, configuration, and usage of Apache Airflow.
Step-by-step tutorials to help you get started with Apache Airflow.