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Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
Recorded at:

| by William Markito Oliveira Follow 0 Followers , Fred Melo Follow 0 Followers on Jan 23, 2016 |
01:25:23

Summary
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of an application built on top of open source tools that demonstrate how to easily build a stock prediction solution with no source code - except a few lines of R and the web interface that will consume data through a RESTful endpoint, in real time.

Bio

William Markito Oliveira is an Enterprise Architect at Pivotal. Fred Melo is a Technical Director at Pivotal.

This is a one-of-a-kind conference for application developers, solution and data architects: people who develop business applications, create multi-device aware web applications, process vast quantities of enterprise data, design cloud architectures, and manage high performance infrastructure. The sessions are specifically tailored for Developers and Architects using the popular open source Spring IO Projects, Groovy & Grails, Cloud Foundry, RabbitMQ, Redis, Geode, Hadoop and Tomcat technologies. Whether you're building mission-critical web or business applications, crunching huge amounts of distributed data, or designing the next killer cloud native application, SpringOne2GX will keep you up to date with the latest enterprise technology.

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