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Wednesday, September 30 • 14:30 - 15:20
Implementing a Highly Scalable In-Memory Stock Prediction System with Apache Geode (incubating), R and Spring XD - William Markito Oliveira, Pivotal and Fred Melo, 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 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 almost no source code - except a few lines of R and the UI interface based on JavaFX, using Apache Geode for fast data and real-time notifications, combining streaming and distributed processing for stock indicator algorithms.

avatar for William Markito Oliveira

William Markito Oliveira

Enterprise Architect, Pivotal
William Markito Oliveira is a solution architect of enterprise applications with focus on system integration and highly distributed systems. He has large Java platform experience, solid skills in development and architecture of SOA, Big Data, EAI, and web services-based applications. William currently works at Pivotal and was formerly at Oracle, BEA, and Ericsson. He co-authored a few books (ISBN: 978-0321980083,ISBN: 978-0137081868, ISBN... Read More →

Wednesday September 30, 2015 14:30 - 15:20

Attendees (23)