Russian Federation
Russian Federation
Russian Federation
Analysis of Big Data is currently gaining more and more importance in the professional activity of almost any specialist. Analysis of such data using computing power and special software is the subject of activity of professionals analysts. At the same time, the need for analysis of Big Data in the context of the decision-making task arises in a much wider range of specialists. In this case, it is necessary to find simpler but more effective methods of analyzing Big Data. The article considers one of the possible methods of such analysis, based on the visualization of Big Data with minimal computer processing. The main idea of this method is based on the observation that the hidden structure of the data array begins to manifest itself already at the first steps of computer processing of this array. In this case, it makes sense to complete the processing, in the designated trends to visualize manually. To solve decision-making problems, the use of the resulting visual image, as a rule, is sufficient. The named visualization skills should be mastered by a wide range of specialists within the framework of the formation of ICT competence.
Big data, computer processing, visualization, ICT competence, content and structure of ICT competence
1. Beshenkov S.A., Shutikova M.I. Obrazovatel'nye riski sovremennogo informacionnogo sociuma i informacionno-kognitivnye tehnologii // Informatika i obrazovanie. – 2015. – № 8. – S. 11–21. – URL: https://www.elibrary.ru/item.asp?id=25030469. EDN: https://elibrary.ru/VBTHFL
2. Beshenkov S.A., Shutikova M.I., Mindzaeva E.V. Informacionnaya bezopasnost' v kontekste vyzovov cifrovogo sociuma // Chelovek i obrazovanie, 2018. – № 2(55). – S. 55–61. – URL: https://elibrary.ru/item.asp?id=36589348 DOI: https://doi.org/10.1051/shsconf/20185503008
3. Beshenkov S.A., Shutikova M.I., Mindzaeva E.V. Konvergenciya informatiki i tehnologii kak platforma sovremennoy intellektual'noy tehnosfery // Informatika i obrazovanie, 2018. № 5(294). – S. 4–6. – URL: https://elibrary.ru/item.asp?id=35143846
4. Grinshkun V.V., Krasnova G.A. Razvitie obrazovaniya v epohu chetvertoy promyshlennoy revolyucii // Informatika i obrazovanie, 2017. – №1(280). – S. 42–45. – URL:https://www.elibrary.ru/item.asp?id=29328004. EDN: https://elibrary.ru/YRUKFN
5. Zavadskaya E.V. «Besedy o zhivopisi» Shi Tao. – M.: Nauka, 1978. —207 s.
6. Mayer-Shenberger V., Kuk'er K. Bol'shie dannye. Revolyuciya, kotoraya izmenit to, kak my zhivem, rabotaem. – M.: Mann, Ivanov i Ferber, 2014. 240 s.
7. Shvab K. Chetvertaya promyshlennaya revolyuciya. M.: Eksmo, 2016. – 208 s.
8. Yau N. Iskusstvo vizualizacii v biznese. Kak predstavit' slozhnuyu informaciyu prostymi sposobami. – M.: Mann, Ivanov i Ferber, 2013. – 352 s.
9. Shutikova M.I., Wu Chen, 数据可视化作为未来建筑师 培训的重要能力 Data visualization as an important competence in the training of future architects/ Scientific research of the SCO countries: synergy and integration 上合组织国家的科学研究：协同和一体化. Beijing, China, 2022.
