In the world of data and task automation, managing workflows efficiently is crucial. This is where Apache Airflow comes into play. Imagine having a tool that can help you automate and schedule tasks, coordinate data flows, and handle complex workflows seamlessly. This is exactly what Airflow does, making it an essential tool for modern data engineers and developers. In this article, we’ll take a beginner-friendly journey into the world of Airflow and explore its core concepts.
Apache Airflow is an open-source platform that allows developers to programmatically create, schedule, and monitor workflows as directed acyclic graphs (DAGs). With Airflow, you can define complex workflows with dependencies and execute them automatically or manually. In this article, we will guide you through the process of setting up Airflow and creating your first DAG.