Apache Airflow Explained: DAGs, Scheduling, Operators vs Sensors | Airflow Tutorial for Beginners
Are you new to Apache Airflow or looking to better understand how workflows are created and managed? In this video, we’ll break down Apache Airflow, the concept of DAGs (Directed Acyclic Graphs), and how tasks are scheduled and executed. You’ll also learn the key difference between Airflow Operators vs Sensors — an essential topic for any data engineer or workflow automation enthusiast.
We'll cover:
What is Apache Airflow?
How DAGs (Directed Acyclic Graphs) work in workflow orchestration
Task scheduling and dependencies
Understanding Airflow tasks and the role of Executors
Deep dive: Operators vs Sensors in Airflow
Real-world examples and use cases
Components of Airflow: Webserver, Executor, Metadata Database, DAG Folder
Whether you're a beginner or brushing up on your data engineering skills, this video is a great step-by-step guide to building workflow automation using Python and Airflow.
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