摘要
为积极应对高职院校数据治理挑战,满足数据治理需求,提升数据资产价值,为决策提供可靠支持,设计了数据质量监控管理平台。该平台基于分布式架构,包含数据质量检测、快速评估、数据源管理、消息中心等模块,满足数据治理和决策需求。平台支持15种元规则,评估数据完备性、一致性、及时性、有效性和完整性。通过综合评定数据质量指数Q值,实现对整体数据质量的客观量化评价。选择达梦数据库管理系统作为数据库,支持复杂查询和扩展性需求。
To actively respond to the data governance challenges in colleges,meet data governance needs,enhance the value of data assets,and provide reliable support for decision-making,a data quality monitoring and management platform has been designed.Based on a distributed architecture,the platform includes modules such as data quality inspection,rapid assessment,data source management,and message center,which meet the needs of data governance and decision-making.The platform supports 15 meta-rules to evaluate the completeness,consistency,timeliness,effectiveness,and integrity of data.Through a comprehensive assessment of the data quality index Q value,an objective quantitative evaluation of the overall data quality is achieved.DM Database Management System is selected as the database,which supports complex queries and scalability requirements.
作者
朱俊彦
Zhu Junyan(Zhejiang International Maritime College,Zhoushan 316021,China)
出处
《浙江国际海运职业技术学院学报》
2023年第3期11-15,共5页
Journal of Zhejiang International Maritime College
基金
浙江省高等教育学会2023年度高等教育研究课题“智慧校园背景下高职院校数据治理现状及能力提升路径研究”(项目编号:KT2023296)。