1.1 How to Install Apache Airflow 3.0 with pip | Step-by-Step Tutorial

Get started with the latest version of Apache Airflow! In this comprehensive tutorial, you'll learn exactly how to install Apache Airflow 3.0 on your system using pip, the Python package installer. This guide is perfect for beginners looking to learn data orchestration and for experienced engineers updating their skills to Airflow 3. I'll break down the installation into simple, easy-to-follow steps so you can get your Airflow 3.0 environment up and running in no time. By the end of this video, you will have a fully functional Apache Airflow 3 instance, ready for you to build your first data pipeline. What you will learn in this video: 1. Prerequisites for installing Apache Airflow 3.0. 2. Step-by-step guide to installing Airflow using the pip install command. 3. How to initialize the Airflow database for version 3. 4. Creating your first user account. 5. Starting the Airflow. 6. A quick tour of the refreshed Airflow 3.0 UI. For detailed written instructions and documentation, please refer to the unofficial guide we're following in this video: https://airflow.atwish.org/docs/Installation/PiPy Don't forget to like, share, and subscribe for more tutorials on Apache Airflow and data engineering! If you have any questions, drop them in the comments below. Chapters: 00:00 - What to Expect in This Video 00:29 - Setting Up Your Python Environment 03:09 - Configuring Your airflow.cfg File 06:05 - Initializing the Database & Creating Your First User 08:27 - Creating Scripts to Run Airflow 10:40 - Running Airflow as a Systemd Service 12:29 - Final Thoughts & Next Steps Hashtags #ApacheAirflow #Airflow3 #DataEngineering #ETL #Python #pip #AirflowTutorial #DataOrchestration #BigData #Developer #AirflowInstallation