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Intermediate Data Science & Analytics en

Data Engineering Pipeline Management with Apache Airflow

LinkedIn Learning
Platform · California, USA

About this course

Embark on a comprehensive journey into data engineering pipeline management with Apache Airflow. Learn how to navigate role-based access control to ensure secure and effective data pipeline operations. Review the intricacies of execution timeouts and deadline management to keep your workflows efficient and timely. Discover how to schedule Directed Acyclic Graphs (DAGs) based on data asset updates, maximizing your pipeline's responsiveness. Find out how to leverage Airflow plugins to customize and enhance your user interface for improved productivity. See how to manage task concurrency with pools, and learn how to scale Airflow using the Celery executor for distributed processing. This course caters to data engineering professionals eager to gain knowledge and skills in pipeline management. By the end of this course, you'll be more adept at orchestrating and scaling complex data workflows with precision and confidence.

Prerequisite Skills

Skills you should have before taking this course

Python SQL Basic Data Engineering Concepts

Skills Gained

Skills you will develop by completing this course

Data pipelines Apache Airflow Role-based access control (RBAC) Data Engineering Workflow Management Distributed Processing Task Scheduling Celery Executor

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