Level: Professional — Author: Writix
Level: Professional • Duration: 10 hours
Author: Writix
This hands-on course on Apache Airflow equips you with the essential skills to programmatically author, schedule, and monitor workflows. You will master key concepts such as the functioning of schedulers and web servers, working with data pipelines through practical projects, and managing Directed Acyclic Graphs (DAGs). The course delves into advanced topics like scaling with various executors, setting up a Kubernetes cluster with Rancher for data pipelines, and ensuring security through roles and permissions. With practical exercises, quizzes, and a focus on best practices, you'll gain confidence in using Airflow effectively in data engineering contexts.
Duration: 10 hours
XP Points: 350
Participants: 0
- Data Engineers looking to enhance their skills. - Aspiring Data Engineers wanting to enter the field. - DevOps professionals seeking to integrate workflows. - Software Engineers interested in data pipeline management. - Anyone interested in mastering Apache Airflow.