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
杨洵1
作者信息
- 1. 福建农业职业技术学院,福建福州 350119
- 折叠
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.
Abstract
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Key words
multi source heterogeneous data/high performance graph database/query engine引用本文复制引用
出版年
2024
NETL
NSTL
万方数据