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Abstract: Global and rapid development of modern political and economic processes, high-tech, scientific and industrial researches generate and require the storage, processing and presentation of a large and even enormous amounts of data (Big Data problem). The problem of Big Data are closely related to logistical problems of intellectual organization of optimal and secure movement of large amounts of people, goods, resources and information. The concept of Big Data means working with a huge amount of information and diverse composition in order to improve efficiency, create new products and improve competitiveness. The problem of finding necessary information, its processing, analysis and interpretation in the context of the problems solved by the user is topical nowadays. At the same time the labor market is experiencing shortage of professionals who are able to Data Mining in all sectors. In this context, the article discusses the problems of Big Data and describes different approaches to their intellectual processing. We consider IMI&IT USPU teaching opportunities of “03.01.02 – Applied Mathematics and Informatics” students the basics of working with big data. We generalize the experience and the results of this work.