How to intelligently make sense of real data of smart cities

This paper analyzes the benefits of big data for smart cities and the potential of the knowledge discovery from sensed data, which enables real-time systems monitoring, management, optimization and anticipation. In this work we present some examples of applications of big data analysis in two scenarios of smart cities. One of them is focused on the SmartSantander testbed, which offers fixed sensors that record temperature, traffic, and noise. The second example describes the services provided in the SmartCampus of the University of Murcia (UMU), as part of the SMARTIE EU project. The results obtained after applying the most appropriate big data techniques in both scenarios show how it is possible to provide efficiently services like the management of the transport congestion and the energy consumption and comfort of buildings in the context of Smart Cities.