摘要
随着信息技术的飞速发展,大数据技术在各行各业中得到了广泛的应用。烟草行业作为传统产业之一,也逐渐意识到数据数字化对业务发展的重要性。该文针对烟草行业的特点和需求,提出了一种基于企业服务总线(ESB)的大数据架构,旨在实现烟草行业数据的高效集成和数字化处理。该架构采用了分布式计算和存储技术,通过ESB实现了各个子系统之间的数据交互和通信,同时引入了数据清洗、分析和挖掘等模块,以实现对烟草数据的深度利用。通过实际案例验证,该架构在提升烟草行业数据处理效率和信息化水平方面有显著效果。
With the rapid development of information technology,big data technology has been widely applied in various industries.As one of the traditional industries,the tobacco industry has gradually realized the importance of data digitization for business development.The article proposes a big data architecture based on Enterprise Service Bus(ESB)to address the characteristics and needs of the tobacco industry,aiming to achieve efficient integration and digital processing of tobacco industry data.This architecture adopts distributed computing and storage technology,and implements data exchange and communication between various subsystems through ESB.At the same time,it introduces modules such as data cleaning,analysis,and mining to achieve deep utilization of tobacco data.Through practical case verification,this architecture has shown significant effects in improving the data processing efficiency and informatization level of the tobacco industry.
作者
李凡
王茜茜
曾俊翔
LI Fan;WANG Qianqian;ZENG Junxiang(Fujian Tobacco Company Quanzhou Branch,Quanzhou 362000,China)
出处
《数字通信世界》
2024年第11期80-82,共3页
Digital Communication World
关键词
ESB
大数据架构
烟草行业
数据集成
数字化处理
ESB
big data architecture
tobacco industry
data integration
digital processing