Big data analytics: a literature review

被引:59
|
作者
Chong, Dazhi [1 ]
Shi, Hui [2 ]
机构
[1] Old Dominion Univ, Dept Informat Technol & Decis Sci, Norfolk, VA USA
[2] Univ Southern Indiana, Dept Management & Informat Sci, Evansville, IN 47712 USA
关键词
big data analytics; programming model; storage; application;
D O I
10.1080/23270012.2015.1082449
中图分类号
F [经济];
学科分类号
02 ;
摘要
With more and more data generated, it has become a big challenge for traditional architectures and infrastructures to process large amounts of data within an acceptable time and resources. In order to efficiently extract value from these data, organizations need to find new tools and methods specialized for big data processing. For this reason, big data analytics has become a key factor for companies to reveal hidden information and achieve competitive advantages in the market. Currently, enormous publications of big data analytics make it difficult for practitioners and researchers to find topics they are interested in and track up to date. This paper aims to present an overview of big data analytics' content, scope and findings as well as opportunities provided by the application of big data analytics.
引用
收藏
页码:175 / 201
页数:27
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