Anyone with Python knowledge can deploy a workflow. Apache Airflow® does not limit the scope of your pipelines; you can use it to build ML models, transfer data, manage your infrastructure, and more.

Dec 12, 2025 · 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, …

This is a multithreaded Python process that uses the DAGb object to decide what tasks need to be run, when and where. The task state is retrieved and updated from the database accordingly.

Apache Airflow® is an open-source platform for developing, scheduling, and monitoring batch-oriented workflows. Airflow’s extensible Python framework enables you to build workflows connecting with …

Learn to implement and schedule data engineering workflows by adding scheduling, error handling, and reporting using Airflow and Airflow DAGs in Python.

Nov 1, 2025 · Learn how to automate and orchestrate complex data workflows using Python and Apache Airflow. Discover how DAGs, sensors, and operators eliminate cron jobs, add scalability, and …

Feb 28, 2025 · It simplifies the process of running complex data pipelines, ETL (Extract, Transform, Load) jobs, and other batch - processing tasks. This blog will take you through the fundamental …