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

M. Shutikova, Sergey Beshenkov
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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.
掌握大数据工作技术是大学人文专业学生现代培养的一项内容
大数据是一种全新的信息对象,需要特殊的分析和处理方法。大数据的特点如下:传统的数据处理方法在大数据情况下可能无效,因为它们需要非常大的时间框架和计算资源;大数据在许多方面失去了离散结构,其属性接近于连续性结构,这使得使用传统的离散分析方法变得复杂。 文章讨论了人道主义大学研究大数据的方法。 讨论了该领域出现大数据的根源,即信息对象的语法和语义方面的不平衡。文章证实,在人道主义大学中,最好强调掌握建模方法,这在许多方面可以消除这种不平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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