摘要
文章通过对数据治理技术的研究,从技术现状、技术发展和数据质量需求方面剖析了其在设计、应用方面的瓶颈,提出了一种适用于石油行业的数据模型结构设计和管理方式,并基于数据模型提供线下数据汇总、数据校验、数据采集配置等数据采集方法、数据集成方法。最后结合应用场景介绍在应用系统实施过程中遇到的难点与所提出的相应解决方案,包括关系型数据库数据及物理文件数据的采集域同步。
Through the research on data governance technology,this paper analyzes its bottlenecks in design and application from the aspects of technical status,technical development and data quality requirements,puts forward a data model structure design and management mode suitable for the petroleum industry,provides data collection methods and data integration methods such as offline data summarization,data verification and data collection configuration based on data model.Finally,combined with the application scenario,the difficulties encountered in the implementation of the application system and the corresponding solutions are introduced,including the collection domain synchronization for relational database data and physical file data.
作者
梁光瑞
LIANG Guangrui(Cnooc EnerTech Equipment Technology Co.,Ltd.,Tianjin 300452,China)
出处
《现代信息科技》
2021年第12期162-164,共3页
Modern Information Technology
关键词
数据治理
数据采集
数据交换
data governance
data collection
data exchange