"Big" data and its role in solving business problems
The results of research on technologies of «big» data are presented: the terminology, taking into account the specifics of the Russian IT market, is analyzed and refined. The signs of «big» data (volume, velocity, variety, variability, value) are revealed. The main sources and principles of working with «big» data (system extensibility, resistance to failure, localization) are identified. The main methods of analyzing «big» data (deep analysis and data classification, crowdsourcing, split testing, forecasting, machine learning, analysis of network activity) are proposed. The difference in approaches to data analysis using traditional tools and mechanisms of «big» data is formulated. The possibility of practical use of «big» data technologies in the economy is shown: the subjects (infrastructure providers, data miners, system integrators, customers, developers) are identified. Development prospects (cloud storage, «dark» data, blockchain, self-service systems), drivers and limiters of «big» data are determined. The main advantages of using «big» data to improve the efficiency of commercial enterprises in the sale of goods and services are shown.