Apache Airflow

Apache Airflow is an Open Source platform designed to programmatically author, schedule, and monitor workflows. It uses a modular architecture and a message queue for scalability, allowing it to handle a vast number of tasks. Airflow's pipelines are defined in Python, enabling dynamic pipeline generation and easy extension with custom operators. Its elegant design, leveraging Jinja templating for parametrization, makes workflows lean and explicit. A robust web UI provides monitoring and management capabilities, eliminating the need for command-line interfaces. Airflow boasts extensive integrations with various cloud platforms and services, simplifying deployment and extending its reach to diverse technologies. ## Bénéfices - Improved workflow management and automation, increased scalability and reliability, reduced operational overhead, enhanced collaboration and transparency via the web UI, easier integration with existing infrastructure and services, greater flexibility and customization through Python scripting, reduced errors and increased data quality through automated processes and monitoring, and the ability to manage complex data pipelines efficiently.