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Method for Selecting a Big Data Package

빅데이터 패키지 선정 방법

  • Byun, Dae-Ho (Dept. of Economics, Finance, and Logistics, Kyungsung University)
  • 변대호 (경성대학교 경제금융물류학부)
  • Received : 2013.08.01
  • Accepted : 2013.10.20
  • Published : 2013.10.28

Abstract

Big data analysis needs a new tool for decision making in view of data volume, speed, and variety. Many global IT enterprises are announcing a variety of Big data products with easy to use, best functionality, and modeling capability. Big data packages are defined as a solution represented by analytic tools, infrastructures, platforms including hardware and software. They can acquire, store, analyze, and visualize Big data. There are many types of products with various and complex functionalities. Because of inherent characteristics of Big data, selecting a best Big data package requires expertise and an appropriate decision making method, comparing the selection problem of other software packages. The objective of this paper is to suggest a decision making method for selecting a Big data package. We compare their characteristics and functionalities through literature reviews and suggest selection criteria. In order to evaluate the feasibility of adopting packages, we develop two Analytic Hierarchy Process(AHP) models where the goal node of a model consists of costs and benefits and the other consists of selection criteria. We show a numerical example how the best package is evaluated by combining the two models.

Keywords

Big data analysis;package;solution;selection criteria;Analytic Hierarchy Process(AHP);decision making

Acknowledgement

Supported by : 경성대학교