Mobile devices, sensors, and GPSs are driving 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 address the DEBS challenge and achieve throughput in excess of 100,000 events/sec. It will also examine how we extended the solution to conduct batch processing with business activity monitoring (BAM) using the same framework, enabling users to obtain both instant analytics as well as more detailed batch processing-based results.