大数据解决方案之权变因素及其矩阵研究  

Contingency Factors and Matrix Study of Big Data Solution

作　　者：尹晓锋[1] 辛伯宇[2] 

机构地区：[1]山西省贸易学校计算机科学系,山西太原030012 [2]山西交通职业技术学院信息工程系,山西太原030031

出　　处：《湖南工业职业技术学院学报》2015年第6期1-5,共5页Journal of Hunan Industry Polytechnic

摘　　要：随着互联网、物联网和云计算等技术的发展,大数据逐渐引起各种组织的关注及应用。然而,如何制定或组织大数据解决方案,还尚未有统一的标准可循。为了解决该问题,本文对现有的大数据解决方案进行了比较性研究和归类分析,重点研究了大数据解决方案的权变因素,并提出了大数据解决方案权变因素矩阵,为相关组织或技术人员组织和选择大数据解决方案提供了一种可行的权衡策略。With the development of the internet, IOT and cloud computing technology etc., big data have gradually attract attention and application of various organizations. However, there is no unified standard for how to make or organize big data solution.To solve this problem, this paper conducted a comparative study and the classified analysis for the existing big data solutions,focusing on the contingency of big data solutions, and proposes the contingency factor matrix of big data solutions, which provides an effective strategy for technical staffs or organizations to organize and choose big data solution.

关 键 词：大数据 特性 权变因素 矩阵 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]