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  • Apache Airflow
    Apache Airflow® Apache Airflow® is a platform created by the community to programmatically author, schedule and monitor workflows Install Airflow
  • Documentation - Apache Airflow
    Documentation Apache Airflow® Apache Airflow Core, which includes webserver, scheduler, CLI and other components that are needed for minimal Airflow installation Read the documentation » Apache Airflow CTL (airflowctl) Apache Airflow CTL (airflowctl) is a command-line interface (CLI) for Apache Airflow that interacts exclusively with the Airflow REST API It provides a secure, auditable
  • What is Airflow®? — Airflow 3. 1. 8 Documentation - Apache Airflow
    What is Airflow®? 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 A web-based UI helps you visualize, manage, and debug your workflows
  • Architecture Overview — Airflow 3. 1. 8 Documentation
    Architecture Overview 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 A Dag specifies the dependencies between tasks, which defines the order in which to execute the tasks Tasks describe what to do, be it
  • Quick Start — Airflow 3. 1. 8 Documentation
    Set Airflow Home (optional): 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. 8 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
  • Installation of Airflow® — Airflow 3. 1. 8 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
  • Core Concepts — Airflow 3. 1. 8 Documentation
    Here you can find detailed documentation about each one of the core concepts of Apache Airflow® and how to use them, as well as a high-level architectural overview
  • 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 This section presents the four most common use cases for Airflow, but the possibilities are endless
  • Airflow 101: Building Your First Workflow
    Airflow 101: Building Your First Workflow Welcome to world of Apache Airflow! In this tutorial, we’ll guide you through the essential concepts of Airflow, helping you understand how to write your first Dag Whether you’re familiar with Python or just starting out, we’ll make the journey enjoyable and straightforward What is a Dag? At its core, a Dag is a collection of tasks organized in





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