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Tracking a Soccer Game with Big Data

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Slides:   1-PPT 

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 data from a soccer match as part of the annual DEBS event processing challenge. In 2013, the challenge included a data set generated by a real soccer match in which sensors were placed in the soccer ball and players’ shoes. This session will review how we used CEP to implement DESB challenge and achieved throughput in excess of 100,000 events/sec. It also will 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.

This session is sponsored by WSO2

Photo of Srinath Perera

Srinath Perera

Vice President of Research, WSO2

Dr Srinath Perera, is a Director of Research at WSO2 Inc., where he overlooks the overall WSO2 platform architecture with the CTO. He is a co-founder of Apache Axis2, a member
of the Apache Software foundation, and a member of the Apache Web Service Project Management Committee. Srinath also serves as a research scientist at the Lanka Software Foundation and teaches as visiting faculty at the Department of Computer Science and
Engineering, University of Moratuwa. He is a frequent technical speaker and author of many academic and technical publications. He has authored two books “Hadoop Cookbook” and “Instant MapReduce Patterns.”