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This article is cited in 4 scientific papers (total in 4 papers)
Big Data: analytical solutions, research challenges and trends
N. M. Aliab, B. A. Novikovc a Port Said University
b Saint Petersburg State University
c National Research University Higher School of Economics
Abstract:
The term Big Data refers to an extensive collections of digital data generating every second. Produced datasets come in structured, semi-structured, and unstructured formats throughout the world, which is difficult for the traditional database management systems to analyze. Recently, big data analytics emerges as an essential research area due to the popularity of the Internet and the advent of new Web technologies. This growing area of research represents a multi-disciplinary that attracts researchers from various research fields. Interested researchers are invited to design, develop, and implement several tools, technologies, architecture, and platforms for analyzing these large volumes of data. This paper begins with a brief introduction to big data and related concepts, including the main characteristics of big data, followed by discussions of the most significant open research challenges and emerging trends. Next, we review a study of big data analytics, the advantages of using big data solutions, and the preliminary assessments required before migrating from traditional solutions. Finally, we present a review of the recent main applications to obtain a broad perspective of big data analytics.
Keywords:
big data, big data analytics, decision making, big data applications.
Citation:
N. M. Ali, B. A. Novikov, “Big Data: analytical solutions, research challenges and trends”, Proceedings of ISP RAS, 32:1 (2020), 181–204
Linking options:
https://www.mathnet.ru/eng/tisp492 https://www.mathnet.ru/eng/tisp/v32/i1/p181
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Abstract page: | 298 | Full-text PDF : | 430 | References: | 19 |
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