Apache Airflow: The Hands-On Guide

🎓 Master Apache Airflow from A to Z 🚀

Course Overview

Apache Airflow is a powerful and open-source platform for scheduling and managing complex workflows. It's designed to be scalable, dynamic, extensible, and modular, making it an essential skill for anyone working with data in today's data-driven world. Mastering Airflow is not just beneficial but increasingly a must-have expertise.

What You Will Learn 📚

1. Fundamentals of Airflow:

   • Understand the core components of Airflow: the scheduler and the web server.

2. Forex Data Pipeline Project:

   • Explore various operators in Airflow by handling Slack, Spark, Hadoop, etc.

3. Mastering Your DAGs:

   • Learn to play with timezones, unit test your DAGs, structure your DAG folder effectively, and more.

4. Scaling Airflow:

   • Configure different executors such as the Local Executor, Celery Executor, and Kubernetes Executor.
   • Understand how to add new workers, handle node crashes, and optimize Airflow performance.

5. Kubernetes Cluster Setup:

   • Set up a Kubernetes cluster with 3 nodes using Rancher for a local Airflow data pipeline environment.

6. Advanced Concepts:

   • Practical examples on templating your DAGs, creating dependent DAGs, understanding Subdags and deadlocks, etc.

7. Cloud Deployment with AWS EKS:

   • Deploy a Kubernetes cluster in the cloud using AWS EKS and Rancher to leverage Airflow with the Kubernetes Executor.

8. Monitoring Airflow:

   • Learn how to monitor Airflow effectively with Elasticsearch and Grafana.

9. Security Best Practices:

   • Ensure your Airflow instance is secure by specifying roles and permissions, implementing authentication and password protection, and more.

Hands-On Learning Experience 🛠️

• Practical Exercises: Apply what you learn with many hands-on exercises throughout the course.
• Best Practices: Receive guidance on best practices to effectively utilize Airflow in your projects.
• Interactive Quizzes: Assess your knowledge at the end of each section to reinforce learning.
• Responsive Instructor Support: I am committed to answering your questions promptly and providing you with the support you need.

Course Features ✨

• In-depth Coverage: From the basics to advanced concepts, this course will take you on a journey through all aspects of Apache Airflow.
• Real-world Application: Learn how to implement Airflow in a Kubernetes environment, both locally and in the cloud with AWS EKS.
• Monitoring and Security: Ensure your Airflow deployment is secure and well-monitored using industry-standard tools.
• Expert Guidance: Benefit from my extensive experience as I guide you through each step of mastering Apache Airflow.

Conclusion 🎖️

By the end of this course, you will have a comprehensive understanding of Apache Airflow and be confident in your ability to implement, scale, and manage complex data workflows. I am excited to embark on this learning journey with you and look forward to seeing your growth as an Airflow professional. Let's unlock the full potential of your data pipelines together!

I've poured my knowledge and passion into creating a course that is both educational and engaging. I hope you enjoy the content and find it as valuable as intended. I wish you great success on your journey to mastering Apache Airflow!

• Marc Lamberti 👩‍🏫