Big data search for environmental telemetry

Abstract

This paper presents how Exalead CloudView is used to search for environmental parameters in big data. In particular, given an environmental application, we propose to leverage trivial and non-trivial connections between different sensor signals, in order to find patterns that are likely to provide innovative solutions to existing problems and to establish different data models. The aggregation of such data models will provide evidence of connections between different events and environmental responses to those triggers, faster and better than trivial mining sensors data. As a consequence, the software has a significant potential for matching environmental applications and challenges that are related in non-obvious ways.