Apache: Big Data 2015

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.