Simplifying big data analytics systems with a reference architecture

Authors: Sang G, Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29353/

Start date: 18 September 2017

Journal: Springer

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.

This data was imported from Scopus:

Authors: Sang, G.M., Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29353/

Journal: IFIP Advances in Information and Communication Technology

Volume: 506

Pages: 242-249

ISBN: 9783319651507

ISSN: 1868-4238

DOI: 10.1007/978-3-319-65151-4_23

© IFIP International Federation for Information Processing 2017. 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.

This data was imported from Web of Science (Lite):

Authors: Sang, G.M., Xu, L. and de Vrieze, P.

http://eprints.bournemouth.ac.uk/29353/

Journal: COLLABORATION IN A DATA-RICH WORLD

Volume: 506

Pages: 242-249

eISSN: 1868-422X

ISSN: 1868-4238

DOI: 10.1007/978-3-319-65151-4_23

The data on this page was last updated at 19:59 on June 9, 2020.