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Big Data in Memory
Recorded at:

| by John Davies Follow 0 Followers on Mar 14, 2015 |
01:06:43

Summary
John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.

Bio

John Davies is Entrepreneur, director/co-founder of Incept5 & C24

Pivotal and No Fluff Just Stuff bring you SpringOne 2GX 2014, a one-of-a-kind conference for application developers, solution architects, web operations and IT teams who develop business applications, create multi-device aware web applications, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for developers using the hugely popular open source Spring IO projects, Groovy & Grails, Cloud Foundry, Hadoop and Tomcat technologies. Whether you're building and running mission-critical business applications, designing the next killer cloud or big data application, SpringOne 2GX will keep you up to date with the latest enterprise open source technology.

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