New Batch Processing Using Spring Batch

The aim of the Spring Batch training is to provide participants with comprehensive, practical knowledge of the Spring Batch framework and enable them to develop robust, reliable, and high-performance batch processing applications in Java and Spring Boot environments.

During the training, participants will learn about the Spring Batch processing model, the structure of Jobs and Steps, and the principles of chunk-oriented processing. Through practical examples, they will learn how to process files, databases, and other data sources, handle errors and restarts, and improve performance using techniques such as parallel processing and partitioning.

Modern enterprise systems often require the import, export, migration, reporting, or regular processing of large volumes of data. These processes are often long-running and require effective error handling and restartability, which can be difficult to implement using traditional application logic. The Spring Batch training introduces proven solutions and design patterns that enable these tasks to be implemented safely, reliably, and at scale.

The Spring Batch training is primarily recommended for the following target groups:

• Java developers who develop Spring Boot applications.
• Spring developers who want to learn about batch processing capabilities.
• Backend developers working with large-scale data processing.
• Integration developers and professionals developing data processing systems.
• Developers implementing ETL, import/export, or data migration processes.
• Anyone who wants to develop reliable, restartable, and scalable batch applications using Spring Batch in an enterprise environment.

After completing the training, participants will be able to:

• create Spring Batch projects independently;
• design and implement batch Jobs and Steps;
• develop Tasklet and chunk-oriented processing solutions;
• process files, databases, and JPA-based data sources;
• create and customize Reader, Processor, and Writer components;
• apply robust error handling, validation, retry, and skip mechanisms;
• design restartable batch processes;
• implement complex processes, flows, and collaboration between multiple Jobs;
• develop parallel and high-performance batch processing solutions using Multi-threaded Step, Split, and Partitioning techniques;
• start, monitor, and control batch processes through REST APIs;
• apply the most important enterprise development patterns of Spring Batch in real-world projects.

• Spring Batch fundamentals and architecture
• Jobs, Steps, and Tasklets
• Job parameterization and configuration
• Persistence and restartability
• Testing and command-line execution

• Reader, Processor, and Writer components
• File and database processing
• JPA and Spring Data JPA integration
• Execution Context
• Listeners, event handling, and caching
• Filtering and data enrichment techniques

• Transaction management
• Restart and restart configuration
• Validation
• Skip and Retry mechanisms
• Error logging

• Interrupting and stopping Jobs
• Process control and conditional execution
• Using Flows and JobExecutionDecider
• Collaboration between multiple Jobs

• Reading and writing multiple files
• Driving Query Pattern
• Header and footer handling
• Using a template engine

• Multi-threaded Step
• Parallel Flow (Split)
• Partitioning

• Starting Jobs via REST API
• Asynchronous execution
• Querying Jobs
• Stop and Restart operations

Solid knowledge of Java and Spring Boot is recommended for completing the training.

A prerequisite is the completion of the Building a Microservice Application with the Spring Boot Framework in a Docker Environment (JAVAX-MCR) training course, or equivalent practical knowledge of the course material.