Creating Stateful Streaming Apps with Apache Spark 4.0 on Amazon EMR Serverless

AWS Big Data · 2026-06-09 · data

A recent article highlights the process of developing a production-ready IoT device monitoring system utilizing the transformWithState API in Apache Spark 4.0 on Amazon EMR Serverless. This example illustrates the essential features of stateful streaming, providing a practical template that can be modified for various applications.

The article emphasizes the capabilities of Spark 4.0 in managing stateful streaming, which is crucial for real-time data processing and analytics. By leveraging Amazon EMR Serverless, developers can efficiently deploy and scale their applications without the need for managing infrastructure, making it an appealing option for businesses looking to implement IoT solutions.

Why it matters for certification candidates

For those pursuing certifications like AWS Certified Solutions Architect or AWS Certified Big Data - Specialty, understanding how to implement stateful streaming applications is vital. This knowledge can enhance your skills in designing scalable data solutions, which is a key focus in these certification tracks.

Original reporting: AWS Big Data