Simplifying Big Data Analytics Systems with a Reference Architecture

被引:12
作者
Sang, Go Muan [1 ]
Xu, Lai [1 ]
de Vrieze, Paul [1 ]
机构
[1] Bournemouth Univ, Fac Sci & Technol, Poole BH12 5BB, Dorset, England
来源
COLLABORATION IN A DATA-RICH WORLD | 2017年 / 506卷
基金
欧盟地平线“2020”;
关键词
Big data; Analytics; Reference architecture; FRAMEWORK;
D O I
10.1007/978-3-319-65151-4_23
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The internet and pervasive technology like the Internet of Things (i.e. sensors and smart devices) have exponentially increased the scale of data collection and availability. This big data not only challenges the structure of existing enterprise analytics systems but also offer new opportunities to create new knowledge and competitive advantage. Businesses have been exploiting these opportunities by implementing and operating big data analytics capabilities. Social network companies such as Facebook, LinkedIn, Twitter and Video streaming company like Netflix have implemented big data analytics and subsequently published related literatures. However, these use cases did not provide a simplified and coherent big data analytics reference architecture as well as currently, there still remains limited reference architecture of big data analytics. This paper aims to simplify big data analytics by providing a reference architecture based on existing four use cases and subsequently verified the reference architecture with Amazon and Google analytics services.
引用
收藏
页码:242 / 249
页数:8
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