REAL-TIME STREAMING TECHNOLOGY AND ANALYTICS FOR VALUE CREATION

被引:1
作者
Shim, J. P. [1 ]
O'Leary, Daniel E. [2 ]
Nisar, Karan [3 ]
机构
[1] Georgia State Univ, Robinson Coll Business, Atlanta, GA 30303 USA
[2] Univ Southern Calif, Los Angeles, CA 90007 USA
[3] Tibco Software, Atlanta, GA USA
关键词
Streaming technology; streaming analytics; real-time streaming; use cases; value creation; symbolic and functional value; reengineering analytics; human in the loop; organization in the loop; alert responses; research issues; BIG DATA;
D O I
10.1080/10919392.2021.2023943
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:364 / 382
页数:19
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