February Meeting: Spring Batch

Spring Batch with Anatoly Polinsky

Abstract:
Offline processing is a feature of almost all IT projects of any size. Often there is a natural business reason to group items for processing, and this is where offline processing becomes a batch job. There are also legitimate technical reasons for batching items for processing to enhance performance and throughput. In both cases, the delivery of such systems presents challenges.

Spring Batch is a lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch builds upon the productivity, POJO-based development approach, and general ease of use capabilities people have come to know from the Spring Framework, while making it easy for developers to access and leverage more advance enterprise services when necessary.

This presentation explores the boundary between what is classified as a batch and what is not and shows that it can be blurred for business or technical reasons. The session concentrates on the challenges of increasing throughput in crucial high-volume business environments and explains how a range of patterns has emerged to help address those challenges. Then it takes a look at the Java™ programming language and available tooling to see how they provide a good platform for enabling efficient batch processing. It uses examples from real-life applications throughout.

About Anatoly:
Anatoly Polinsky is a Consultant working for Accenture

(Note: this is as much of a bio that I could get out of him. Anatoly is really much more forth coming with information in person :))

So RSVP to get a seat and food!

Hope to see you all there!

Dmitry