Apache Airflow Explained: DAGs, Scheduling, Operators vs Sensors | Airflow Tutorial for Beginners скачать в хорошем качестве

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. 🔔 Don’t forget to subscribe for more tutorials on data pipelines, workflow orchestration tools, and Python workflows!