A Comparative Perspective on Technologies of Big Data Value Chain

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2023-10-11 DOI:10.1109/ACCESS.2023.3323160

Ahmet Arif Aydin

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Abstract

Data is one of the most valuable assets in the digital era because it may conceal hidden valuable insights. Diverse organizations in diverse domains overcome the challenges of the big data value chain by employing a wide range of technologies to meet their needs and achieve a variety of goals to support their decision-making. Due to the significance of data-oriented technologies, this paper presents a model of the big data value chain based on technologies used in the acquisition, storage, and analysis of data. The following are the paper’s contributions: First, a model of the big data value chain is developed to illustrate a comprehensive representation of the big data value chain that depicts the relationships between the characteristics of big data and the technologies associated with each category. Second, in contrast to previous research, this paper presents an overview of technologies for each category of the big data value chain. The third contribution of this paper is to assist researchers and developers of data-intensive systems in selecting the appropriate technology for their specific application development use cases by providing examples of applications and use cases from prominent papers in a variety of fields and by describing the capabilities and stages of the technologies being presented so that the right technology is used at the right time in the big data collection, processing, storage, and analytics tasks.

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大数据价值链技术的比较视角

数据是数字时代最有价值的资产之一，因为它可能隐藏着隐藏的有价值的见解。不同领域的不同组织通过采用广泛的技术来满足其需求并实现各种目标来支持其决策，从而克服了大数据价值链的挑战。由于面向数据技术的重要性，本文提出了一个基于数据采集、存储和分析技术的大数据价值链模型。以下是本文的贡献：首先，开发了一个大数据价值链模型，以说明大数据价值链条的全面表示，该模型描述了大数据的特征与每个类别相关技术之间的关系。其次，与以往的研究相比，本文概述了大数据价值链每一类的技术。本文的第三个贡献是通过提供各个领域著名论文中的应用程序和用例示例，并描述所介绍技术的能力和阶段，帮助数据密集型系统的研究人员和开发人员为其特定的应用程序开发用例选择合适的技术技术在正确的时间用于大数据的收集、处理、存储和分析任务。

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

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

期刊介绍： IEEE Access® is a multidisciplinary, open access (OA), applications-oriented, all-electronic archival journal that continuously presents the results of original research or development across all of IEEE''s fields of interest. IEEE Access will publish articles that are of high interest to readers, original, technically correct, and clearly presented. Supported by author publication charges (APC), its hallmarks are a rapid peer review and publication process with open access to all readers. Unlike IEEE''s traditional Transactions or Journals, reviews are "binary", in that reviewers will either Accept or Reject an article in the form it is submitted in order to achieve rapid turnaround. Especially encouraged are submissions on: Multidisciplinary topics, or applications-oriented articles and negative results that do not fit within the scope of IEEE''s traditional journals. Practical articles discussing new experiments or measurement techniques, interesting solutions to engineering. Development of new or improved fabrication or manufacturing techniques. Reviews or survey articles of new or evolving fields oriented to assist others in understanding the new area.