Real-Time Data Streaming with AWS Kinesis and Lambda

In a world where millions of devices continuously generate data, processing information in real time is essential for modern applications. Understanding how to handle live data streams allows you to build responsive systems like fraud detection engines and instant alerting systems. This text-based course guides you through the fundamentals of serverless streaming architectures. You will learn how to design pipelines that ingest, transform, and analyze continuous data feeds using AWS Kinesis and AWS Lambda, establishing a solid foundation in modern cloud data engineering. What you'll learn: - Understand the core concepts of streaming data, shards, and serverless processing. - Configure AWS Kinesis Data Streams and Kinesis Firehose to ingest and deliver real-time data. - Write AWS Lambda functions to process and transform streaming data on the fly. - Apply modern security best practices using IAM least-privilege roles for serverless pipelines. - Implement structured logging and monitoring using CloudWatch to troubleshoot live data flows. - Analyze streaming data using SQL-based analytics and route results to downstream destinations. The course begins with foundational concepts of streaming architectures before moving into step-by-step written guides on configuring Kinesis streams, writing serverless processing logic, and securing your data pipelines. This course is designed for beginner data engineers, developers, and cloud enthusiasts who want to learn real-time data processing without needing prior experience in streaming technologies. Start reading today to build your first serverless real-time data pipeline.