An Easy 5-Step Framework to Accelerate Your Airflow Learning

Did you know that the name “Airflow” was inspired by the airflow patterns inside the data center at Airbnb?

Having practiced Airflow for almost 2 years now, I have tried all sorts of things to get better:

• Go through Airflow tutorials and repos
• Watch Youtube videos on Airflow
• Listen to podcasts about data engineering

And all of these things helped me a ton.

But if I had to start all over again (as a beginner), this is the simple, 5-step framework I wish I had for learning Airflow:

Step 1: Understand the Basics

This includes understanding the key concepts such as DAGs (Directed Acyclic Graphs), operators, tasks, and workflows. Familiarizing yourself with these concepts will provide a solid foundation to build upon.

Step 2: Build a Simple DAG

Start by creating a DAG with a single task, then gradually add more complexity as you become more comfortable with the syntax and structure of Airflow.

Step 3: Experiment with Operators

Airflow provides a wide range of operators that can be used to perform different tasks…