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Apache Airflow® is a community-created platform that uses Python to define, schedule and monitor workflows. It supports scalability, dynamic pipelines, extensibility, elegance and robust integrations with various services and technologies.
Apache Airflow is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows in Python code. Learn how to use Airflow's web interface, extensible framework, and rich features to manage your workflows.
21 de oct. de 2021 · Apache Airflow es una plataforma de código abierto para planificar y ejecutar flujos de trabajo de datos por lotes. Descubre su historia, sus componentes, sus casos de uso y sus ventajas en este artículo de Data Science.
Learn how to use Apache Airflow, a platform for data engineering and orchestration, with these tutorials. Explore fundamental concepts, task flow, pipeline building, object storage, and more.
14 de jul. de 2024 · Apache Airflow es una herramienta de automatización de flujos de trabajo para cargas Big Data. En este artículo se explica qué es, cómo funciona, qué operadores usa y cómo se crean DAGs con ejemplos.
Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks.
Apache Airflow es una herramienta para crear, organizar y supervisar visualmente flujos de trabajo y lanzar cadenas de tareas (pipelines) para procesar, almacenar y visualizar datos. Apache Software Foundation es propietaria de la plataforma que aún pasa por la fase de incubadora con 1000 colaboradores en GitHub y 13 000 estrellas.