THE INTERNET OF THINGS AND BIG DATA: REAL-TIME ANALYSIS

Abstract

The Internet of Things and Big Data are two unique concepts. To date, both technologies have already passed the "pit of disappointment", pulled up to each other and almost side by side go to the "plateau of productivity", ie enter the phase of maturity. The aim of the article is to substantiate the need to integrate the functionality of the Internet of Things and Big Data. To achieve this goal, the following tasks are set: to define the essence of the concepts of "Internet of Things" and "Big Data", to clarify the relationship between the Internet of Things and Big Data. The article examines the trends of rapid development of the Internet of Things. The architecture of the Internet of Things is revealed at six levels: coding level, perception level, network level, middleware level, program level, business level. The classification of the Internet of Things is given, based on which the subject of the Internet of Things market is chosen as a criterion: business (industrial Internet of Things), consumers (consumer segment of the Internet of Things), state (state segment of the Internet of Things). The economic effects of the introduction of the Internet of Things in various sectors of the economy, including industry, logistics, energy, mining, agriculture, transport, construction, finance, are identified. The concept of Big Data is studied through the prism of three V: volume – volume, velocity – speed, variety – diversity. The classification of information belonging to the "Big Data" is considered: operational data, "dark" data, commercial data, official data, information from social networks and services.The general architecture typical of Big Data is characterized, which consists of the following levels: data collection, data storage, data transformation, data processing, data analysis, data output. The differences between the Internet of Things and Big Data are highlighted. Further ways of combining these technologies are suggested. The combination of the Internet of Things and Big Data provides fundamentally new opportunities. Big Data and the Internet of Things complement each other. Combining these technologies allows you to not only respond to problems as they are identified, but also anticipate them.