计算机与现代化 ›› 2022, Vol. 0 ›› Issue (05): 82-89.

• 数据库与数据挖掘 • 上一篇    下一篇

基于数据架构的结构化数据注册引擎设计

  

  1. (1.成都理工大学计算机与网络安全学院,四川成都610059;2.成都大学大数据研究院,四川成都610106)
  • 出版日期:2022-06-08 发布日期:2022-06-08
  • 作者简介:黄安琪(1996—),男,四川什邡人,硕士研究生,研究方向:大数据技术,E-mail: 937654932@qq.com; 苗放(1958—),男,教授,研究方向:大数据技术,E-mail: miaofang@126.com; 杨文晖(1969—),女,副教授,研究方向:大数据技术,E-mail: ywhui@cdut.edu.cn.; 倪雅婷(1996—),女,硕士研究生,研究方向:大数据技术, E-mail: 1353020757@qq.com。
  • 基金资助:
    国家自然科学基金资助项目(61071121)

Design of Structured Data Registration Engine Based on Data Architecture

  1. (1. School of Computer and Network Security, Chengdu University of Technology, Chengdu 610059, China;
    2. Institute of Big Data, Chengdu University, Chengdu 610106, China)
  • Online:2022-06-08 Published:2022-06-08

摘要: 随着大数据时代的来临,结构化数据的种类、规模不断增加,但是目前针对于结构化数据的注册还没有相应的研究成果。为了解决结构化数据注册的问题,采用数据架构(DA)的思想和相关技术,结合数据注册中心(DRC),设计一种针对结构化数据的注册引擎,提出一种结构化数据的统一注册标准和注册方法,实现结构化数据的自动采集注册。通过实验与分析,注册引擎能够准确、高效地将结构化数据注册信息采集并写入DRC中,为国内外常用数据库的注册问题提出了一种解决方案,为DRC数据注册中心的结构化数据注册信息管理和应用奠定了坚实的基础。

关键词: 大数据, 数据架构; 数据注册中心; 结构化数据; 注册引擎

Abstract: With the advent of the big data era, the types and scale of structured data continue to increase, but there are currently no research results aimed at the registration of structured data. In order to solve the problem of structured data registration, adopting the idea of data architecture (DA) and related technologies, combined with the data registration center (DRC),a registration engine for structured data is designed, anda unified registration standard for structured data and registration method are proposed to realize the automatic collection and registration of structured data. Through experiments and analysis, the registration engine can accurately and efficiently collect and write structured data registration information into the DRC, and propose solutions to the registration problems of commonly used databases at home and abroad. It lays a solid foundation for the structured data registration information management and application of the DRC data registration center.

Key words: big data, data architecture, data register center, structured data, registration engine