大数据背景下计算机信息处理技术探究

Research on computer information processing technology in the context of big data

大数据时代,信息繁杂多样,社会对计算机信息处理技术的要求变得越来越高。文章首先分析了计算机信息处理工作的内容,主要包括信息收集、信息存储、信息分析传输、信息安全处理;其次从垃圾信息的处理、信息的安全、计算机硬件、人才缺失4方面阐述了计算机信息处理存在的问题;最后提出了改进策略,包括加强信息筛选和分类储存、加强对信息云数据库的安全管理、提高计算机的硬件条件、培养专业人才。希望能够给计算机信息处理工作带来一定的启发。

In the era of big data,information is complex and diverse,and the social requirements for computer information processing technology are becoming higher and higher.This paper first analyzes the content of computer information processing,including information collection,information storage,information analysis and transmission,information security processing;Secondly,it expounds the problems of computer information processing from four aspects:garbage information processing,information security,computer hardware and talent shortage.Finally,it puts forward improvement strategies,such as:Strengthening information screening and classified storage,strengthening the security management of information cloud database,improving computer hardware conditions,training professionals,hoping to bring some inspiration to the computer information processing work.