InfoQ Homepage Presentations Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
Implementing a Highly Scalable Stock Prediction System with R, GemFire and Spring XD
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.
About the conference
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.
Jan 23, 2016
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Community comments
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by Sriram Padmanabhan,
Re: comment
by Mariska Bhankh,
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by Sriram Padmanabhan,
Your message is awaiting moderation. Thank you for participating in the discussion.
The talk gives an awful explanation about the difference between map-reduce and spark.
Find this here
goo.gl/JrhYYq
Re: comment
by Mariska Bhankh,
Your message is awaiting moderation. Thank you for participating in the discussion.
Sorry to disagree. I've watched the presentation "in loco" and it was good enough for an intro talk. Happy to see your submission for SpringOne this year...