From Zero to Hero: Mastering Batch Processing for Efficient Data Management

THIS IS THE LIVE STREAM OF AN IN-PERSON EVENT. Please register by visiting https://www.eventbrite.com/e/from-zero-to-hero-mastering-batch-processing-for-efficient-data-management-tickets-609073012777

Spring Batch is a robust framework for batch processing in Java, which enables the efficient processing of large volumes of data in a scalable and fault-tolerant manner. In this talk, we will explore the fundamentals of batch processing and how Spring Batch can be used to develop robust and efficient batch jobs.

We will start by discussing the fundamental concepts of batch processing, such as chunk-based processing, job parameters, and job scheduling. We will then dive into the Spring Batch framework, exploring its architecture, components, and APIs. Through practical examples, we will demonstrate how to configure and run batch jobs using Spring Batch, including reading and writing data, performing business logic, and handling errors.

We will also cover some advanced topics, such as parallel processing, job partitioning, and scaling, which can help improve the performance and throughput of batch jobs. Finally, we will share some best practices and tips for debugging and monitoring batch jobs in production.

By the end of this talk, you will have a solid understanding of batch processing with Spring Batch and how it can help you process large volumes of data efficiently and reliably. Whether you are a beginner or an experienced developer, this talk will provide you with practical insights and knowledge to take your batch processing skills from zero to hero.

Bio:  
Rodrigo Graciano is a Java Champion, a Director, and Senior Principal Software Engineer at BNY Mellon. He has more than 15 years of experience in software development. Rodrigo is a leader of the NYJavaSIG and a frequent conference speaker, including Java One, Devnexus, KCDC, TDC, and Java User Groups.

Photo by Massimo Botturi on Unsplash