摘要
在大数据时代,数据的规模越来越大、复杂程度也不断提升,这给计算机信息处理技术带来了不少挑战。基于此,文章系统探讨了分布式计算等核心技术,结合实际案例分析,并提出了优化改进策略。实验结果显示,所提策略在数据处理效率、数据保护能力上均有提高。
In the era of big data,the scale of data is becoming larger and larger,and its complexity is constantly increasing,posing numerous challenges to computer information processing technology.Based on this,the article systematically explores core technologies such as distributed computing,analyzes them through practical case studies,and proposes optimization and improvement strategies.Experimental results show that the proposed strategies have improved both data processing efficiency and data protection capabilities.
作者
吴晓云
WU Xiaoyun(Lanzhou Open University,Lanzhou Gansu 730000,China)
出处
《信息与电脑》
2025年第20期51-53,共3页
Information & Computer
关键词
大数据
计算机信息处理技术
分布式计算
数据安全
人工智能
big data
computer information processing technology
distributed computing
data security
artificial intelligence
