As software systems grow more complex, handling large amounts of data effectively becomes a critical challenge. Batch processing, which refers to the execution of a series of programs (or jobs) on a computer without manual intervention, is one solution to this problem. One of the most powerful tools for batch processing in Java is Spring Batch. Spring Batch is a lightweight, comprehensive framework designed for processing large volumes of data. It provides reusable functions essential for processing large datasets, such as logging, transaction management, job restartability, and scaling. But why use Spring Batch, and how do you implement it? In this article, I’ll explain why Spring Batch is essential for many enterprise-level applications and guide you through a detailed implementation with a hands-on demo.