大数据时代计算机信息处理技术分析  

Analysis of Computer Information Processing Technology in the Era of Big Data

作　　者：萨仁图亚[1] Sarentuya(Xilingol Vocational College,Xilinhot Inner Mongolia 026000,China)

机构地区：[1]锡林郭勒职业学院,内蒙古锡林浩特026000

出　　处：《信息与电脑》2024年第20期42-44,共3页Information & Computer

摘　　要：在大数据时代,计算机信息处理技术迎来了前所未有的发展机遇与挑战。本文分析了当前大数据环境下计算机信息处理技术的现状,探讨了信息采集、数据特征提取与存储等关键技术,提出了多条创新路径以应对大数据时代的需求,包括运用分布式存储技术以提高数据处理能力、人工智能与机器学习在信息处理中的应用、云计算与边缘计算的协同发展等。希望本文的分析,能够为相关从业人员提供一定的参考。In the era of big data,computer information processing technology has ushered in unprecedented development opportunities and challenges.This paper analyzes the current situation of computer information processing technology in the current big data environment,discusses key technologies such as information acquisition,data feature extraction and storage,and puts forward a number of innovative paths to cope with the needs of the big data era,including the use of distributed storage technology to improve the data processing capability,the application of artificial intelligence and machine learning in information processing,and the synergistic development of cloud computing and edge computing.It is hoped that the analysis in this paper can provide certain reference for relevant practitioners.

关 键 词：大数据时代 计算机信息处理技术 创新路径 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]