Spring Batch Fundamentals for Efficient Data Processing

Large-scale data operations require a structured approach to ensure reliability, performance, and recoverability. This course provides a foundational understanding of how to manage complex batch processing tasks using the industry-standard Spring Batch framework. You will progress from basic terminology to building sophisticated data pipelines that can handle millions of records without manual intervention. By the end of this course, you will be able to design and implement automated batch jobs that are both scalable and easy to maintain. What you'll learn: - Understand the foundational architecture of Jobs, Steps, and Tasklets - Configure ItemReaders and ItemWriters to interact with MySQL databases - Practice implementing chunk-based processing for optimal memory management - Apply modern Java features like Records to simplify data transfer objects - Integrate batch workflows with Jenkins for automated scheduling and execution - Learn to handle failures using built-in retry and skip policies - Understand basic monitoring techniques to track job status and performance The course starts with essential definitions and the batch lifecycle before guiding you through the practical setup of database-driven workflows and automation. This program is created specifically for beginners and developers transitioning into backend data engineering; no previous batch processing experience is necessary. Start building reliable data processing systems today.