Big data analytics and the problems with user security information processing
Download as PDF
DOI: 10.23977/esac2022.015
Corresponding Author
Baoxin Zhang
ABSTRACT
While big data analytics may be deemed necessary for modern society and its progress, this necessity comes with some significant concerns and obstacles. Big data analytics is defined by its ability to cope with massive amounts of data and the sharing of that data. This raises a number of security concerns, particularly when working with data that crosses sectors and businesses. The term "big data" refers to digital data stores with a high volume, velocity, and diversity; big data analytics is the process of utilizing software to discover trends, patterns, correlations, and other important insights inside those massive data stores (Gupta and George, 2016). It also plays a critical role in the creation and development of numerous industries, although current constraints restrict its development to a great extent. As a result, resolving the issues impeding its development takes precedence. The aim of this paper is to discuss the impact of big data analytics on mankind, to discuss the problems encountered in its development and the possible solutions to these problems. First, it will enumerate the application of big data analytics in many areas, and demonstrate its widespread influence and the critical need to enhance big data analytics' ability to contribute to societal development. Then the development challenges and effects will be analysed and finally the potential solutions will be assessed and discussed.
KEYWORDS
Big data analysis, Information processing, User security, Storage mechanism