Mastering Technologies for Working with Big Data As an Element of Modern Training of University Humanities Students

M. Shutikova; Sergey Beshenkov

doi:doi:10.12737/1998-1740-2024-12-3-11-14

UDC 373

Mastering Technologies for Working with Big Data As an Element of Modern Training of University Humanities Students

Published в Standards and Monitoring in Education · Volume 12, Issue 3, 2024 · Pages 11–14 · Rubrics: Methods and methodology of education

DOI 10.12737/1998-1740-2024-12-3-11-14

Received: 05.06.2024 Accepted: 18.06.2024 Published: 24.07.2024

Authors

M. Shutikova ¹ · Sergey Beshenkov ²

1 Military University named after Prince Alexander Nevsky (Department of Informatics and Management, Head)
Russian Federation

2 Military University named after Prince Alexander Nevsky (Department of Informatics and Management, Professor)
Russian Federation

ABSTRACT

g Data is a qualitatively new information object that requires special methods of analysis and processing. The peculiarity of Big Data is the following: traditional methods of data processing in the case of Big Data may not be effective, since they require very large time frames and computing resources; Big Data, in many ways, loses its discrete structure and approaches its properties to structures of continuity, which complicates the use of traditional methods of discrete analysis. The article discusses approaches to the study of Big Data in humanitarian universities. The sources of the emergence of big data in this area are discussed as an imbalance between the syntactic and semantic aspects of the information object. It is substantiated that in humanitarian universities it is advisable to place emphasis on mastering the modeling methodology, which, in many respects, allows eliminating this imbalance.

KEYWORDS

Big Data humanities education information data modeling

Information

Authors:

1. Military University named after Prince Alexander Nevsky (Department of Informatics and Management, Head)

Russian Federation

2. Military University named after Prince Alexander Nevsky (Department of Informatics and Management, Professor)

Russian Federation

Type:

Article

Pages:

from 11 to 14

Status:

Published

Subject area:

UDC 373

Language:

Russian

Keywords:

Big Data, humanities education, information, data, modeling

References

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3. Mayer-Shenberger V. Bol'shie dannye. Revolyuciya, kotoraya izmenit to, kak my zhivem, rabotaem i myslim / V. Mayer-Shenberger, K. Kuk'er. – Mann, Ivanov i Ferber, 2014. – S. 240.

4. Nalimov V.V. Veroyatnostnaya model' yazyka. – M.:Nauka, 1974. – 272 s.

5. Rakitina E.A., Beshenkov S.A. Informacionnoe obrazovanie v Rossii // Znanie. Ponimanie. Umenie. – 2013. – № 3. – S. 42–51. EDN: https://elibrary.ru/RBOVJH

6. Rudnev V.M. Slovar' kul'tury HH veka. – M.: Akademicheskiy proekt 2020. – 314 s.

7. Shutikova M.I., Beshenkov S.A., Mindzaeva E.V. Information and cognitive technologies in the context of the 4th technological revolution: education aspects// Journal of Siberian Federal University - Humanities and Social Sciences. 2019. № 9. Pp. 1694–1713. DOI: https://doi.org/10.17516/1997-1370-0482; EDN: https://elibrary.ru/QIGLBX

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