Simplifying Big Data Analytics System with A Reference Architecture.

Sang, G., Xu, L. and de Vrieze, P. T., 2017. Simplifying Big Data Analytics System with A Reference Architecture. In: 18th IFIP Working Conference on Virtual Enterprises (PRO-VE 2017), 18-20 September 2017, Vicenza, Italy. (In Press)

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Abstract

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.

Item Type:Conference or Workshop Item (Poster)
Group:Faculty of Science & Technology
ID Code:29353
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:19 Jun 2017 14:01
Last Modified:19 Jun 2017 14:01

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