基于图数据库的企业数据中台数据资源检索技术研究

Research on Data Resource Retrieval of Enterprise Data Center Platform Based on Graph Database

图数据库能够针对高度连接的数据进行优化,可有效处理密集、相互关联的数据集,并允许构建检测相关性和数据关联模式。该特性有助于数据资源间的关系连接,可以应用于大规模的数据资源检索中。文章基于图数据库相关特性,给出了一种基于图数据库的企业数据中台数据资源检索方案,在数据中台提供的数据挖掘算法服务、多元数据库存储支撑和通用业务支撑服务基础上,进一步提出运用图数据库的图数据结构特性来优化基于数据中台的数据资源检索的能力,确保数据中台的数据资源检索服务的易用、数据关系可视化,为满足前台的数据分析和产品服务提供一种更为有效的支撑。

The graph database can be optimized for highly connected data,can effectively deal with dense and interrelated data sets,and allows the construction of detection correlation and data association patterns.This feature is helpful to the relational connection between data resources and can be applied to large-scale data resource retrieval.Aiming at the problem of data resources retrieval brought by data desk providing massive data for enterprises,this paper explores data resources retrieval on data desk based on graph database.Based on the related characteristics of graph database,this paper presents a data resource retrieval scheme of enterprise data based on graph database.On the basis of data mining algorithm service,multi-database storage support and general service support service provided by data database,this paper further puts forward a method of using the graph data structure characteristics to optimize data resource retrieval ability of data center platform.It can ensure the ease of use of the data resource retrieval service and the visualization of the data relationship in the data center,and provide a more effective support for the data analysis and product services in the foreground.