Abstract

Big Data and IoT have made huge strides in detection technologies, resulting in "smart" devices consisting of sensors, and massive data processing. So far, there is no common strategy for designing Big Data architectures containing IoT, since they depend on the context of the problem to be solved. But in recent years, various architectures have been proposed that serve as examples for future research in this area. The aim of this article is to provide an overview of the architectures published so far, serving as a starting point for future research. The methodology used is that of systematic mapping.