Pipeline Orchestration and Operations on AWS

Modern data systems rely on automated, reliable workflows to process information without manual intervention. This text-based course guides you through the foundational concepts of data pipeline orchestration and operations on AWS. You will transition from manual scripts to fully automated, resilient workflows by reading clear architectural explanations, analyzing structured configuration snippets, and learning how to schedule, monitor, and recover data pipelines. What you'll learn: - Understand the core terminology of pipeline orchestration, workflow states, and event-driven architectures. - Design resilient serverless ETL pipelines using AWS Step Functions to coordinate complex sequential tasks. - Build event-driven triggers with EventBridge to automate workflows based on real-time system events. - Orchestrate managed workflows using Apache Airflow (MWAA) and Glue Workflows for large-scale data processing. - Configure automated notifications and decoupling patterns using SNS and SQS. - Apply modern observability concepts to monitor pipeline health, track metrics, and handle failures gracefully. The course begins with essential terminology and structural definitions before moving into step-by-step written guides and architectural walkthroughs. You will consolidate your knowledge through comprehensive summaries and conceptual quizzes designed to test your understanding of each service. This course is designed for beginner data engineers, cloud practitioners, and developers looking to understand workflow automation. No prior cloud orchestration experience is required. Start reading today to build reliable, self-healing data pipelines.