实时流媒体技术和价值创造分析

IF 2 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
J. P. Shim, D. O’Leary, Karan Nisar
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引用次数: 2

摘要

实时流技术和分析能力正在迅速发展,而许多公司和组织正在考虑实施这项技术来满足不断增长的业务需求。用于高性能计算和大数据分析的传统计算机基础设施无法执行此类任务。为了解决这个问题,快速分析流数据需要大量的计算机和数据存储容量,这就需要实时流技术和分析。实时流已经成为一个至关重要的组成部分,它处理来自数千个传感器和其他信息源的大量数据,以便公司提取大量实时数据,以便即时对不断变化的情况做出反应。流技术和分析从实时数据中产生真正的价值。本文介绍了实时流技术和分析的体系结构、现状和发展趋势。讨论了流分析的价值创造。本文描述了流分析的持续智能和价值,以及流技术和流分析的当前架构和现状;展示了流媒体技术和分析的领先供应商;讨论不同行业的各种实际用例和好处;分析流媒体分析的价值创造;并提出了几个研究问题,以及挑战和建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
REAL-TIME STREAMING TECHNOLOGY AND ANALYTICS FOR VALUE CREATION
ABSTRACT Real-time streaming technology and analytics capabilities are growing rapidly, whereas a great number of firms and organizations are considering implementing this technology to meet rising business demands. Traditional computer infrastructures for high performance computing and big data analytics are not able to conduct such tasks. To tackle this obstacle, rapid analysis of streaming data requires significant amounts of computer and data storage capacity, which requires real-time streaming technology and analytics. Real-time streaming has become a crucial component where tremendous volumes of data from thousands of sensors and other information sources are processed so that a company extracting the copious amount of real-time data can react to changing conditions instantaneously. Streaming technology and analytics generate real value from real-time data. This paper presents the current architecture, status, and trend of real-time streaming technology and analytics. It discusses value creation of streaming analytics. The paper describes continuous intelligence and value for streaming analytics and the current architecture and status of streaming technology and analytics; showcases the leading vendors for streaming technology and analytics; discusses various real-world use cases and benefits across various industries; analyzes value creation of streaming analytics; and proposes several research issues, along with challenges and recommendations.
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来源期刊
Journal of Organizational Computing and Electronic Commerce
Journal of Organizational Computing and Electronic Commerce 工程技术-计算机:跨学科应用
CiteScore
5.80
自引率
17.20%
发文量
7
审稿时长
>12 weeks
期刊介绍: The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas. JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business. Theoretical, experimental, survey, and design science research are all welcome and might look at: • E-commerce • Collaborative commerce • Interorganizational systems • Enterprise systems • Supply chain technologies • Computer-supported cooperative work • Computer-aided coordination • Economics of organizational computing • Technologies for organizational learning • Behavioral aspects of organizational computing.
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