摘要
本文聚焦大数据分析技术在网络领域的应用。该技术整合数据采集、存储、处理与可视化技术,深度挖掘网络海量异构数据特征,构建从威胁检测到服务优化的完整技术闭环。其依托机器学习与分布式计算框架,可以对网络流量、用户行为与设备状态进行实时分析。实践表明,此技术有效提升了网络安全防护能力、资源利用效率和服务精准度,有力地支撑了网络智能化运维与价值的转化。
This paper focuses on the application of big data analysis technology in the network field.This technology integrates data collection,storage,processing,and visualization techniques,deeply explores the characteristics of massive heterogeneous data in the network,and constructs a complete technical loop from threat detection to service optimization.It relies on machine learning and distributed computing frameworks to analyze network traffic,user behavior,and device status in real-time.Practice has shown that this technology effectively enhances network security protection capabilities,resource utilization efficiency,and service accuracy,providing strong support for intelligent network operation and value transformation.
作者
李家潇
LI Jiaxiao(Guizhou Vocational College of Economics and Business,Qiannan Buyi and Miao Autonomous Prefecture,Guizhou Province,558022 China)
出处
《科技资讯》
2025年第20期49-51,共3页
Science & Technology Information
关键词
大数据分析技术
网络数据特征
智能化运维
可视化技术
Big data analysis technology
Network data feature
Intelligent operation and maintenance
Visualization technology
