Apache Airflow

What is Apache Airflow?

Apache Airflow is a powerful open-source platform that enables users to programmatically author, schedule, and monitor data pipelines. The platform leverages directed acyclic graphs (DAGs) to represent workflows, where tasks and their dependencies are defined in Python code. The Airflow scheduler efficiently executes these tasks across an array of worker nodes, ensuring seamless pipeline execution while adhering to the specified dependencies

Highlights

• Programmatic Pipeline Authoring: Airflow allows users to define workflows as Python code, enabling dynamic and flexible pipeline generation
• Scalable Architecture: The modular design of Airflow, combined with its message queue-based communication, enables the platform to scale to handle an arbitrary number of workers and processing tasks
• Comprehensive Monitoring and Troubleshooting: Airflow provides a rich user interface that allows users to easily visualize pipeline execution, monitor progress, and troubleshoot issues when necessary
• Customization and Extensibility: Airflow's modular architecture allows users to define their own operators, executors, and extend the platform to fit their specific requirements and level of abstraction.