When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This Introduction to Airflow training course teaches software engineers and data engineers how to use Apache Airflow to orchestrate production-ready data pipelines. Students learn how to create...
Read MoreThis Introduction to Airflow training course teaches software engineers and data engineers how to use Apache Airflow to orchestrate production-ready data pipelines. Students learn how to create pipelines via DAGs (Directed Acyclic Graphs), make pipelines predictable, and master their scheduling. In addition, participants learn how to abstract functionality, reuse components, and modularize and share data across tasks and pipelines with the TaskFlow API, Task Groups, and Branching. Finally, attendees learn how to scale Airflow within Celery, Kubernetes, and KEDA executors.
Throughout the course, students incrementally construct a single, real-world application.
All attendees should have basic Python knowledge or object-oriented programming experience.
All Airflow training students receive comprehensive courseware.