多源异构数据融合与高性能图数据库查询引擎设计

随着信息时代的快速发展，多源异构数据的整合和利用变得日益重要。文中着眼于解决多源异构数据融合与高性能图数据库查询引擎设计的问题，提出了一种创新的方法。首先，探讨了数据融合的重要性以及在整合过程中面临的挑战，特别是在异构数据类型、格式和来源多样的情况下。接着，介绍了高性能图数据库的基本原理，并根据数据融合的需求设计了一种高效的查询引擎。文中设计了一个多层次的数据融合模型，并提出了相应的查询优化算法，以应对数据融合过程的复杂性和多样性。

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

With the rapid development of the information age, the integration and utilization of multi-source heteroge neous data has become increasingly important. This paper focuses on solving the problems of multi source heterogeneous data fusion and the design of query engine for high-performance graph database, and proposes an innovative method. First, the importance of data fusion and the challenges faced in the integration process are discussed, especially in the case of diverse types, formats and sources of heterogeneous data. Then, the basic principle of high-performance graph database is introduced, and an efficient query engine is designed according to the requirements of data fusion. A multi-level data fusion model is designed in this paper, and corresponding query optimization algorithms are proposed to cope with the complexity and diversity of the data fusion process.