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Stock Prediction Systems With R, Geode, and Spring XD

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Stock Prediction Systems With R, Geode, and Spring XD

A presentation from SpringOne2GX on implementing a highly scalable stock prediction system.

· Big Data Zone
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Recorded at SpringOne2GX 2015.

Presenters: Fred Melo and William Markito Oliveira

Big Data Track

Slides

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.


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Topics:
java ,spring ,spring xd

Published at DZone with permission of Pieter Humphrey, DZone MVB. See the original article here.

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