基于数据中台的数据融合集成关键技术研究

当前开发新的业务系统往往需要从其他系统引接数据，系统之间的直接数据交互增加了系统开发的复杂性。为解决上述问题，研究基于数据中台的数据融合集成关键技术，为数据中台建设提供参考。设计数据中台技术架构，实现数据引接、数据管理和数据服务。覆盖数据生命周期，设计数据中台业务流程。瞄准数据赋能目标，提升数据融合集成核心能力，采用混合架构完成多源异构数据存储，利用数据层次模型实现数据映射，应用知识图谱进行数据关联。本文提出的数据中台技术架构已在实际项目中运用，达到预期效果。

Research on Key Technology of Data Fusion Integration Based on Data Center

The current development of new business systems often requires data to be imported from other systems, and direct data interaction between systems directly increases the complexity of system development. In order to solve the above problems, the key technology of data fusion integration based on the data center is studied to provide a reference for the construction of the data center. We design a data center technology architecture to realize data access, data management, and data services. The data center business process is designed to cover the data life cycle. To achieve the target of data empowerment and enhance the core capability of data fusion integration, we adopt a hybrid architecture to store multi-source heterogeneous data, use a data hierarchical model to achieve data mapping, and apply a knowledge graph for data association. The data center technology architecture proposed in this article has been applied in practical projects and achieved the expected results.