Data Pipeline Orchestration with AWS MWAA and Glue Workflows

Managing complex data pipelines with multiple dependencies and branching logic can quickly become overwhelming without the right orchestration tools. This text-only course guides you through AWS Managed Workflows for Apache Airflow (MWAA) and AWS Glue Workflows, helping you choose and implement the right solution for your data engineering needs. You will transition from manual script execution to building automated, resilient, and observable data workflows. You will understand how to structure tasks, manage dependencies, and troubleshoot errors using modern logging practices. What you'll learn: 1. Learn the foundational concepts of data orchestration, DAGs, and workflow states. 2. Configure AWS Glue Workflows for serverless, event-driven data integration tasks. 3. Build robust Apache Airflow DAGs using Python, modern type hints, and best practices. 4. Troubleshoot pipeline failures using CloudWatch logs and observability techniques. 5. Apply decision frameworks to choose the optimal orchestration service for your architecture. 6. Understand basic Infrastructure as Code concepts for deploying orchestration environments. The course begins with essential terminology and foundational orchestration concepts before diving into practical configurations. You will then explore step-by-step written walkthroughs for both Glue Workflows and MWAA, concluding with comparison frameworks and troubleshooting strategies. This course is designed for beginner data engineers, cloud practitioners, and developers looking to automate their data workflows. No prior experience with MWAA or Glue is required, though a basic understanding of Python and cloud concepts is helpful. Start reading today to master cloud-native data orchestration and build reliable pipelines.