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Apache Airflow Apache Airflow® provides many plug-and-play operators that are ready to execute your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other third-party services
What is Airflow®? — Airflow 3. 1. 3 Documentation 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 virtually any technology
Documentation - Apache Airflow Airflow has an official Helm Chart that will help you set up your own Airflow on a cloud on-prem Kubernetes environment and leverage its scalable nature to support a large group of users
Apache Airflow® 3 is Generally Available! | Apache Airflow We announced our intent to focus on Apache Airflow 3 0® as the next big milestone for the Airflow project at the Airflow Summit in September 2024 We are delighted to announce that Airflow 3 0 is now released!
Installation of Airflow® — Airflow 3. 1. 3 Documentation Airflow consists of many components, often distributed among many physical or virtual machines, therefore installation of Airflow might be quite complex, depending on the options you choose
Quick Start — Airflow 3. 1. 3 Documentation - Apache Airflow Airflow requires a home directory, and uses ~ airflow by default, but you can set a different location if you prefer The AIRFLOW_HOME environment variable is used to inform Airflow of the desired location
Tutorials — Airflow 3. 1. 3 Documentation Tutorials ¶ Once you have Airflow up and running with the Quick Start, these tutorials are a great way to get a sense for how Airflow works
Architecture Overview — Airflow 3. 1. 3 Documentation Airflow is a platform that lets you build and run workflows A workflow is represented as a Dag (a Directed Acyclic Graph), and contains individual pieces of work called Tasks, arranged with dependencies and data flows taken into account
Use Cases - Apache Airflow Apache Airflow® allows you to define almost any workflow in Python code, no matter how complex Because of its versatility, Airflow is used by companies all over the world for a variety of use cases
Templates reference — Airflow 3. 1. 3 Documentation The following come for free out of the box with Airflow Additional custom macros can be added globally through Plugins, or at a Dag level through the DAG user_defined_macros argument