Build Real-Time Data Pipelines with AWS Lambda and Kinesis

In today's fast-paced digital world, processing data as it arrives is essential for immediate insights and responsive applications. This course empowers you to construct powerful, event-driven data pipelines that react instantly to new information. By the end of this course, you will possess the foundational knowledge and practical skills to design, implement, and monitor robust real-time data processing solutions using core AWS services. You will be able to efficiently ingest, transform, and analyze streaming data, preparing you to tackle various real-world data challenges. What you'll learn: * Understand the core concepts of serverless computing and event-driven architectures * Configure Kinesis Data Streams for ingesting high-throughput, real-time data * Develop AWS Lambda functions to process and transform data from Kinesis streams * Implement effective error handling and retry strategies for data resilience * Apply serverless best practices for optimizing performance and managing costs * Monitor real-time data pipelines using essential AWS observability tools The course begins by establishing a strong understanding of serverless principles and streaming data fundamentals. You will then progress through the step-by-step configuration of Kinesis and the development of Lambda functions, concluding with deployment considerations and basic monitoring strategies. This course is designed for absolute beginners with no prior experience in AWS or real-time data processing. Begin your journey into real-time data processing and unlock new possibilities for your applications.