Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7064
Title: Big data analytics has little to do with analytics
Authors: Rabhi, Fethi
Bandara, Madhushi
Namvar, Anahita
Demirörs, Onur
Demirörs, Onur
Izmir Institute of Technology. Computer Engineering
Keywords: Analytic life cycle
Data analytic process
Knowledge modelling
Solution engineering
Issue Date: 2018
Publisher: Springer Verlag
Source: Rabhi, F., Bandara, M., Namvar, A., and Demirörs, O. (2018). Big data analytics has little to do with analytics. In A. Beheshti, M. Hashmi, H. Dong, and W. E. Zhang (Eds.), Service research and innovation, (pp. 3-17). Cham: Springer. doi:10.1007/978-3-319-76587-7_1
Abstract: As big data analytics is adapted across multitude of domains and applications there is a need for new platforms and architectures that support analytic solution engineering as a lean and iterative process. In this paper we discuss how different software development processes can be adapted to data analytic process engineering, incorporating service oriented architecture, scientific workflows, model driven engineering and semantic technology. Based on the experience obtained through ADAGE framework [1] and the findings of the survey on how semantic modeling is used for data analytic solution engineering [6], we propose two research directions - big data analytic development lifecycle and data analytic knowledge management for lean and flexible data analytic platforms.
Description: 6th Australasian Symposium on Service Research and Innovation, ASSRI 2017; Sydney, NSW; Australia; 19 October 2017 through 20 October 2017
URI: https://doi.org/10.1007/978-3-319-76587-7_1
http://hdl.handle.net/11147/7064
ISBN: 978-3-319-76586-0
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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