Tuesday 14th October, 2014
11:45am to 12:45pm
Mobile devices, sensors and GPS are driving the demand to handle big data in Both batch and real-time . This presentation discusses how we used complex event processing (CEP) and MapReduce based technologies to track and process real-time data from a football match. Taking a data set generated by a real football match in Which sensors were Placed in the ball and the players' shoes. This session will show how we processed 100k event / sec using time-enhanced SQL queries in Open Source engine (WSO2 CEP / Siddhi). It therefore wants to examine how we extended the solution to conduct batch processing using business activity monitoring (BAM) using the same framework, enabling users to Obtain Both instant analytics as well as more detailed batch processing based results using a pattern known as the Lambda Architecture. The session is Aimed at anyone who wants to understand how real-time and batch analytics can work together.
Sign in to add slides, notes or videos to this session