Features of the interdependence of Big Data and Internet of Things technologies

Abstract

One of the main aspects of this study was the use of Big Data tools to analyze and effectively use the data generated by Internet of Things (IoT) devices. Big data allows you to store and analyze a huge amount of diverse data, as well as to obtain valuable information from it. With the help of Big Data tools, it is possible to process this data efficiently using parallel algorithms and analysis methods in real or quasi-real time. The purpose of the article is to analyze the latest relevant research in the field of Big Data and the Internet of Things, as well as to reveal the features of their interdependence. To achieve this goal, the method of systematic review of scientific literature was used, which allowed to systematically trace and analyze significant research and publications in this area. The methodology of this research is based on a retrospective analysis of literature sources and scientific publications related to the use of Big Data and the Internet of Things in various fields. To collect data, a systematic search of electronic databases such as IEEE Xplore, ScienceDirect, and searches on web resources such as Google Scholar were used. The analysis identified key concepts, methods, and practical applications of combining Big Data and the Internet of Things. The latest developments in the Internet of Things architecture and Big Data models were analyzed. The practical significance of the study is that it contributes to a deeper understanding of the latest research in the areas of Big Data and the Internet of Things, the interaction between them and the identification of new opportunities for using this combination in various industries. The results of this research can be used to develop new technologies and improve existing systems for collecting, processing, and analyzing data. In addition, these findings can be used as a basis for further research in this area aimed at improving and implementing new solutions. This study helps to deepen the understanding of the potential of combining Big Data and the Internet of Things and to point out ways for further development in this area