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 an 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.
Note: This course was created by Janani Ravi. We are pleased to host this content in our library.
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