Apache Airflow

Apache Airflow is the leading platform for programmatically authoring, scheduling, and monitoring workflows. It lets you build data pipelines as directed acyclic graphs (DAGs) with Python.

2 Lessons

Knowledge Course

Fundamentals of Airflow

Core concepts and key principles of Airflow

45 min→

Practical Airflow Guide

Real-world usage, best practices, and common patterns

60 min→

Curated Resources

Free Books

Airflow Documentation

Comprehensive official documentation with concepts, tutorials, and API reference.

Airflow Tutorial

Official tutorial from quick start to writing your first DAG with TaskFlow API.

Official Documentation

Airflow How-to Guides

Production-grade configuration, deployment, and maintenance guides.

Astronomer Intro to Airflow

Leading technical overview of DAGs, TaskFlow API, dynamic tasks, and assets.

Interactive Courses

Astronomer Academy

Free structured learning paths for deep mastery of Airflow.

Video Courses

Airflow Tutorial for Beginners (YouTube)

Comprehensive masterclass covering Airflow 3.x and pipeline orchestration.

Practice & Challenges

Astronomer Try Airflow

Free hosted Airflow environment for experimentation.

Reference & Cheatsheets

Airflow Cheatsheet

Quick reference for Airflow operators, sensors, DAG definitions, and CLI commands.

News & Updates

Apache Airflow Blog

Official blog with release announcements, architectural insights, and community updates.