摘要
针对海关信息化发展带来的海量数据存储管理和有效共享利用等问题,通过分析数据湖的基本特征与技术优势,提出了海关数据湖架构方案,包括数据存储、数据汇聚、数据治理、数据计算、数据服务等解决思路。通过进出口食品风险监控数据湖应用实践,发现构建海关数据湖体系,有利于打破数据孤岛,有效解决并提高海关数据访问质量,提升大数据分析和数据共享能力,更好发挥海关数据价值。
Customs informatization brings a lot of convenience,while leads to problems in mass data storage management and effective sharing and utilization.Based on the advantages of the data lake,this paper proposes a framework scheme for the customs data lake.The framework scheme includes data storage,data gathering,data governance,data computing,data services and other modules.In addition,through the application of import and export food risk monitoring data lake,a customs data lake system was constructed.The system will help to break the data silos and effectively improve the quality of customs data access,thereby enhancing the level of big data analysis and sharing,and making best use of the customs data.
作者
缪佳辉
包先雨
黄孙杰
邢军
MIAO Jiahui;BAO Xianyu;HUANG Sunjie;XING Jun(Shenzhen Customs Information Center,Shenzhen 518045,China;Shenzhen Academy of Inspection and Quarantine,Shenzhen 518045,China)
出处
《武汉工程大学学报》
CAS
2022年第5期572-577,共6页
Journal of Wuhan Institute of Technology
基金
国家重点研发计划项目(2018YFC1603601)。