A REVIEW ON THE PERFORMANCE MEASUREMENT OF BIG DATA ANALYTICS PROCESS

Authors

  • I. M. Ali Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor
  • Y. Y. Jusoh Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor
  • R. Abdullah Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor
  • R. N. H. Nor Faculty of Computer Science and Information Technology, Universiti Putra Malaysia (UPM), Selangor

DOI:

https://doi.org/10.4314/jfas.v10i2s.9

Keywords:

big data analytics process, measures, performance measurement, process performance dimensions

Abstract

Abstract— one vital aspect of big data is the process which handles big data, mainly referred to as big data analytics process. Studying this process and measuring it for better performance can have enormous benefits for those who are willing to harvest the value of big data.  The focus on processes is more common in other disciplines such as business and software development but in big data analytic, it is relatively new. The purpose of this paper is to investigate big data analytics (BDA) process and identify suitable performance measures for it. Existing BDA processes and performance measurement methods are studied and the results are presented in this paper

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Published

2018-02-01

Issue

Section

Research Articles