Pixel International Conferences

Today is important to have a knowledge how to storage, processing, and to searching  in data, but more important is to have skills and to know how to extract useful knowledge from the big data and how to use that knowledge. More and more tangible becomes the need to carry out adequate training aimed at acquiring the necessary competencies for evaluation, verification and correct interpretation of statistical measures. The understanding the capabilities of information technology to save all facts and events occurring inside and outside an organization, as well as the detection and causal links explaining behavior, form the mandatory competencies in the age of the big data. The phenomenon "Big Data" opening up a new stage of "digital divide" affecting both organizations and individuals and is primarily the result of the complexity of processing and interpreting of the available data. There is a divide between the people who "haves" and "have-nots" skills and competencies to gain new knowledge from existing data. This article discusses the specifics of digital divide caused by the availability of big data. Based on research have been determined the existing barriers to overcome the problem. The article focuses on formulating the basic set of skills and competencies that must have every data science specialist.

Keywords: big data, digital divide, digital skills, digital barriers, digital competences;