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Wednesday, April 15 • 3:15pm - 4:05pm
Implementing a Highly-Scalable Stock Prediction System with R, GemFire and Spring XD - Fred Melo, Pivotal and William Markito, Pivotal

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Finance market prediction has always been one of the hottest topics in Data Science and Machine Learning. However, the prediction algorithm is just a small piece of the puzzle. Building a data stream pipeline that is constantly combining the latest price info with high volume historical data is extremely challenging using traditional platforms, requiring a lot of code and thinking about how to scale or move into the cloud. This session is going to walk-through 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, real-time. The solution leverages  in-memory data grid technology for high-speed ingestion, combining streaming of real-time data and distributed processing for stock indicator algorithms

avatar for Fred Melo

Fred Melo

Director, Product Management and Tech Marketing, Pivotal
Fred has been in the software industry for +15 years. Currently working as a Director of Product Management and Tech Marketing for Pivotal, his job is to help customers from all industries build business-relevant Big Data, Fast Data, Mobile and IoT solutions. In recent past, he led... Read More →
avatar for William Markito Oliveira

William Markito Oliveira

Enterprise Architect, Pivotal
After spending years focusing on Enterprise Integration Systems, William has narrowed his focus and specialized on Java development, with emphasis on Service Oriented Architectures (SOA), Distributed Systems and Open source. Currently working at Pivotal helping customers mainly on... Read More →

Wednesday April 15, 2015 3:15pm - 4:05pm CDT
Texas II

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