基于大数据时代下的计算机信息处理技术研究
Research of Computer Information Processing Technology Based on the Era of Big Data
徐维坚1
作者信息
- 1. 华院计算技术(上海)股份有限公司杭州分公司,浙江杭州 310000
- 折叠
摘要
自2008年首次提出"大数据"概念以来,基于大数据的计算机信息处理技术日新月异,极大地丰富和改善了人们的生活方式.人们生活方式的改变又进一步促进了大数据信息处理技术的发展,同时也对大数据信息安全提出了挑战.立足大数据的5V特征,提出从大数据的生命周期角度出发,系统研究了大数据各个生命周期环节中所使用的计算机信息处理技术和信息安全技术,提出应当采用分布式文件系统(Distributed File System,DFS)、MapReduce、Binning等一系列技术来进行大数据的分析和处理,并保证这些环节的大数据信息安全.最后,针对大数据时代下所面临的挑战,提出应对措施,以提高企业机构应对风险和挑战的能力,推动大数据产业的发展和变革.
Abstract
Since the concept of "big data" was first proposed in 2008,computer information processing technology based on big data has been changed rapidly,greatly enriching and improving people's way of life. The change of people's way of life has further promoted the development of big data information processing technology,but also challenged the security of big data information. Based on the 5V characteristics of big data,from the perspective of the life cycle of big data,this paper systematically research the computer information processing technology and information security technology used in all stages of the life cycle of big data,and proposes that DFS (Distributed File System),Map Reduce,binning,etc. should be used for the analysis and processing of big data,and ensure the security of big data information in these stages. Finally,to improve the ability of enterprises to respond to risks and challenges,and promote the growth and transformation of the big data industry,some measures to address the challenges in the era of big data were proposed.
关键词
大数据/信息处理/生命周期/信息安全Key words
big data/information processing/life cycle/information security引用本文复制引用
出版年
2024
NETL
NSTL
万方数据