AWS Data Integration and Modern Cloud Workloads

Modern cloud systems rely on seamless data flow and integration between services to deliver real-time value. Understanding how to connect these data points and manage modern workloads is a crucial skill for cloud professionals today. This written course guides you through the core concepts of AWS data integration, showing you how to connect databases, process data streams, and deploy modern application workloads with confidence. What you'll learn: - Understand core AWS data integration services, including Glue, Athena, and Kinesis - Design event-driven architectures using Amazon EventBridge and Simple Queue Service (SQS) - Build serverless data pipelines to process and transform data in real time - Apply modern observability practices to monitor pipeline health and performance - Explore basic infrastructure-as-code concepts for deploying data workloads reliably - Implement secure data sharing and access controls across cloud services The course begins with foundational definitions of cloud data integration before moving into step-by-step written breakdowns of serverless execution, message queuing, and stream processing. You will read through practical architectural patterns and conceptual exercises designed to reinforce modern cloud best practices. This course is designed for beginner cloud developers, aspiring data engineers, and IT professionals looking to expand their cloud integration skills. No prior experience with AWS data services is required. Start reading today to master the fundamentals of modern AWS data integration.