多源异构数据融合与高性能图数据库查询引擎设计  

Multi Source Heterogeneous Data Fusion and High-performance Graph Database Query Engine Design

作　　者：杨洵 YANG Xun(Fujian Vocational College of Agriculture,Fuzhou Fujian 350119,China)

机构地区：[1]福建农业职业技术学院,福建福州350119

出　　处：《信息与电脑》2024年第1期149-151,共3页Information & Computer

摘　　要：文章针对多源异构数据整合及高性能图数据库查询引擎设计问题,提出创新技术解决方案。通过深度融合实现数据整合与高效存储,并引入先进图数据库技术,以快速响应复杂查询请求。实验证明,该系统在多源异构数据融合和图数据库查询方面具有明显的性能优势,为实际应用提供了可行解决方案。The article proposes innovative technological solutions for the integration of multi-source heterogeneous data and the design of high-performance graph database query engines.Through deep fusion,data integration and efficient storage are achieved,and advanced graph database technology is introduced to quickly respond to complex query requests.Experimental results have shown that the system has significant performance advantages in multi-source heterogeneous data fusion and graph database queries,providing feasible solutions for practical applications.

关 键 词：多源异构数据 高性能图数据库 查询引擎 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]