Real-Time Big Data Processing and Analytics: Concepts, Technologies, and Domains

IF 0.3 Q4 COMPUTER SCIENCE, THEORY & METHODS
Uğur Kekevi̇, A. Aydin
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引用次数: 2

Abstract

In the digital era, data is one of the most important assets since it conceals valuable information. Developers of data-intensive systems have new challenges at each level of streaming, storing, and processing large quantities of data in a variety of forms and speeds. Obtaining useful information at the proper time and place is also crucial. Since the value of information is inversely proportional to time, real-time data processing and analytics are receiving more attention. Due to the importance of real-time data processing and analytics, this study focuses on real-time data processing concepts and terminology, popular technologies used in real-time data processing and analytics, popular NoSQL storage technologies used in real-time data processing, and real-time data processing application areas. The purpose of this paper is to provide researchers of real-time analysis and developers of data-intensive systems with a comparative perspective on real-time data processing by highlighting the key characteristics of real-time data processing technologies, NoSQL storage technologies, their application domains, and selected examples from previous studies.
实时大数据处理和分析:概念、技术和领域
在数字时代,数据是最重要的资产之一,因为它隐藏了有价值的信息。数据密集型系统的开发人员在以各种形式和速度流式传输、存储和处理大量数据的各个层面都面临着新的挑战。在适当的时间和地点获得有用的信息也是至关重要的。由于信息的价值与时间成反比,实时数据处理和分析越来越受到关注。由于实时数据处理和分析的重要性,本研究重点关注实时数据处理的概念和术语、实时数据处理与分析中使用的流行技术、用于实时数据处理中的流行NoSQL存储技术以及实时数据处理应用领域。本文的目的是通过强调实时数据处理技术的关键特征、NoSQL存储技术及其应用领域,以及从以前的研究中选择的示例,为实时分析的研究人员和数据密集型系统的开发人员提供实时数据处理的比较视角。
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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来源期刊
Computer Science-AGH
Computer Science-AGH COMPUTER SCIENCE, THEORY & METHODS-
CiteScore
1.40
自引率
0.00%
发文量
18
审稿时长
20 weeks
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