Data Ingestion and Transformation with AWS Services

In today's data-driven landscape, processing information in real time is a critical capability for any modern data professional. Building efficient pipelines requires a solid understanding of how to capture, transform, and store streaming data securely and reliably. This course guides you from the fundamental concepts of data flow to building production-ready architectures. You will learn to design robust event-driven systems that ingest and transform data at scale using industry-standard cloud services. What you'll learn: Understand core data ingestion patterns, stream processing concepts, and foundational architecture principles. Capture real-time database changes using DynamoDB Streams to trigger downstream actions instantly. Process and transform incoming data on the fly with Lambda functions. Stream and aggregate high-volume data feeds using Kinesis Data Streams and Firehose. Apply modern observability practices, structured logging, and basic error-handling patterns to your pipelines. Secure your ingestion pipelines using AWS Identity and Access Management best practices. The course begins with essential terminology and the conceptual foundations of event-driven architectures, then guides you through step-by-step written tutorials to configure and connect each service. This text-only program is designed for software developers, data engineers, and cloud enthusiasts who are new to data streaming and want to build practical cloud-native skills. No prior experience with AWS data services is required. Start reading to master the essentials of cloud data pipelines today.