Processing Streaming Data with Kinesis Firehose, AWS Lambda, and C#

Modern cloud applications generate massive amounts of real-time data that must be processed and delivered instantly. Understanding how to build reliable, serverless data pipelines is a crucial skill for backend and cloud developers today. This text-based course guides you through setting up, configuring, and writing serverless data transformation pipelines. You will learn to ingest streaming data using AWS Kinesis Firehose, process and transform payload structures with AWS Lambda, and deliver the cleaned data to destination stores using C# and modern .NET practices. What you'll learn: - Understand the fundamental architecture of Kinesis Firehose and serverless data streaming. - Configure AWS Lambda functions to act as inline data transformers for streaming records. - Write clean, asynchronous C# code to parse, validate, and modify streaming payloads. - Implement modern .NET JSON serialization techniques for high-performance data handling. - Handle delivery failures and configure backup destinations for robust error management. - Test your serverless integration using structured written exercises and practical code scenarios. You will start with core streaming concepts and basic architecture definitions before moving into step-by-step configuration guides. Through detailed code walkthroughs, you will learn to write, optimize, and deploy C# Lambda handlers tailored for real-time data delivery. This course is designed for beginner cloud developers, .NET engineers, and aspiring data engineers who want to learn serverless streaming. Basic familiarity with C# is helpful, but no prior AWS experience is required. Start reading today to master serverless data streaming with C# and AWS.