Abstract
The presented article offers the review of means, methods and possibilities of one of the most welcomed modern information technologies – Big Data. The popularity of the technology is grounded in the work. The sources of the big data, the speed of their appearance, amounts of information in the world are examined. The main specializations of the employees for the operation in the field of the structuralized and non-structuralized data of big amounts and the significant variety are marked. The scientific and practical directions and the structure of Big Data are analyzed. The examples of the Big Data use’s technology in the world are examined. The research results of the big data, received from the Ukrainian sites, are presented in the article. The possibilities of the programming language R, as one of the leading instrumental means of the Big Data technology, were used in the work. The research aim was to define the attendance frequency’s dependence of different sites by the young people, aged from 17 to 35 years old, upon their sex, provision of job, incomes and age. The authors present the obtained results and offer directions of the activity, where they may be used.
Highlights
The amount of information grows very quickly today
There is no link between the incomes and the sex of the young people
You may come to the conclusion that the young people after 28 years old visit sites more often; 6. 39,2% of men and 60,8% of women take part in the experiment; 7
Summary
The amount of information grows very quickly today. The scope of information, used by the modern individual, are books, magazines, films and web-pages. The vast number of data, appearing in the operation process of enterprises, banks, institutions and so on, is hidden from the user. “The humankind produces the gigantic quantity of data through the nets, the public transport and the Internet-purchases without any stop. The data represent the vast amount of information of different type: pictures, video, multimedia, text, geo-data, web-magazines, machine code. All the information is located in various storehouses and is hardly subjected to the analysis with the help of the traditional methods. The traditional methods of information analysis cannot overtake the vast volumes of the constantly growing and restored data, - the fact, which opens the road for the Big Data technologies.
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