Big Data: Analytical Solutions, Research Challenges and Trends

Autor:	No'aman Muhammad Ali, Boris Novikov
Rok vydání:	2020
Předmět:	Computer science business.industry Digital data Big data Perspective (graphical) Data science Popularity Term (time) Open research General Earth and Planetary Sciences The Internet Architecture business General Environmental Science
Zdroj:	Proceedings of the Institute for System Programming of the RAS. 32:181-204
ISSN:	2220-6426 2079-8156
DOI:	10.15514/ispras-2020-32(1)-10
Popis:	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, reviewing a study of big data analytics, the advantages of using big data solutions, and the preliminary assessments required before migrating from traditional solutions. Finally, presenting a review of the recent main applications to obtain a broad perspective of big data analytics.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aa69f2a6afc8854b90f85be9a3d8e97c https://doi.org/10.15514/ispras-2020-32(1)-10 Zobrazit plný text záznamu