摘要
在大数据时代,企业面临着海量采购数据的挑战。文中分析了大数据技术在企业物资采购信息管理中的应用,首先概述了大数据技术的特点,设计了基于Hadoop等框架的系统架构。其次,重点探讨了数据存储、并行计算、数据挖掘、流处理等关键技术。最后,通过仿真实验,验证了系统在数据处理效率、资源利用率和可扩展性方面的优异表现。研究表明,引入大数据技术可显著提升采购信息管理水平,为企业决策提供支持。
In the era of big data,enterprises face the challenge of massive procurement data.This paper analyzes the application of big data technology in enterprise material procurement information management.Firstly,it summarizes the characteristics of big data technology and designs a system architecture based on Hadoop and other frameworks.Secondly,it focuses on key technologies such as data storage,parallel computing,data mining,and stream processing.Finally,through simulation experiments,it verifies the excellent performance of the system in data processing efficiency,resource utilization,and scalability.The research shows that the introduction of big data technology can significantly improve the level of procurement information management and provide support for enterprise decision-making.
作者
李晨阳
陶昱
袁梦燕
金礼
LI Chenyang;TAO Yu;YUAN Mengyan;JIN Li(Guizhou Xinren New Energy Technology Co.,Ltd.,Liupanshui,553400 Guizhou,China)
出处
《移动信息》
2024年第11期370-372,共3页
Mobile Information
关键词
大数据
物资采购
信息管理
并行计算
Big data
Material procurement
Information management
Parallel computing