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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