大数据及其反思  

The Big Data and Critiques of It

作　　者：静恩英[1] 

机构地区：[1]广东海洋大学文学院,广东湛江524088

出　　处：《湛江师范学院学报》2014年第4期156-159,共4页Journal of Zhanjiang Normal College

摘　　要：大数据即是在一定时间内用常规数据处理方法难以抓取、管理和处理分析的非结构化海量数据集合。大数据规模巨大、类型多样,其价值主要体现在对数据的整合分析。目前大数据微层面的考察过多关注其数学属性,缺少社会学和社会心理学观照。与此同时,大数据分析人才的缺乏及其可能出现的新的数字鸿沟等问题也是各国各界必须面对的挑战。Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization. The size of big data is untold, the types of it are various, and its value is shown through integration and analysis. Critiques of big data focus on its paradigm whose empirical micro-process and assumptions are constructed through mathematical method, contextualization and multi-dimensions are ignored. The talent of data analysis and new digital gas between nations are also challenges faced by each countries.

关 键 词：大数据 非结构数据 微过程 数据整合 

分 类 号：G206[文化科学—传播学]