How To Install Apache Airflow On Local Machine?: Airflow Tutorial

What You’ll Learn:

1. Python 3 Installation: Ensure smooth installation by setting up Python 3, optimizing compatibility, and enhancing performance.
2. Virtual Environment Setup: Discover the benefits of creating a Python virtual environment for efficient workflow management and isolation.
3. Dependency Installation: Install Apache Airflow effortlessly using pip, ensuring seamless integration without impacting your local Python modules.
4. Database Initialization: Learn to initialize the database for Airflow, enabling smooth execution and management of tasks.
5. Executor Configuration: Understand the default sequential executor setup and explore the advantages of transitioning to the Celery executor.
6. Web Server and Scheduler Activation: Activate essential components like the webserver and scheduler, enabling seamless task execution and monitoring.
7. Workflow Configuration: Set up directories for storing DAG files, ensuring efficient organization and accessibility of workflow components.
8. Web Server Access: Access the Airflow webserver on port 8080, providing a user-friendly interface for task management and monitoring.
9. Scheduler Activation: Activate the scheduler to facilitate task scheduling and execution, ensuring timely completion of workflow tasks.
10. Next Steps: Get ready for the next video, where we delve into the various components of Apache Airflow’s architecture, providing you with a comprehensive overview to enhance your workflow management.