Mark Johnson is a Advisory Engineer at Pivotal where he focuses on helping people learn how to apply Fast and Big Data as well as PaaS solutions to address real world enterprise challenges. Mark has worked on a wide range of technology during his career. Most recently he has focused on Groovy, Grails, and Scala as technologies which enable high quality applications quickly. Mark is active in the software community as the President of the New England Java Users Group (NEJUG) and a regular presenter to user groups and various conferences. When not working, Mark can be found riding his mountain bike on local trails and playing with his family.
Alternative data persistence approaches are all the rage these days. Transitioning our skill sets and legacy applications to these new and promising technologies though can be problematic. Spring Data is an exciting solution to persistence proliferation. It brings the flexibility and familiarity of the Spring Framework and adds the concepts of Repositories which allow developers to write their programs to using familiar methods such as save, update, delete, and dynamic finders.
In this presentation we will introduce Spring Data for GemFire and how it leverages your existing Spring Framework skills to create generic Spring style interfaces which will make it more efficient to transition to distributed data grids such as GemFire.