A Realization Method of Master Data Matching Between Heterogeneous Software Systems

Abstract

The invention discloses a method for realizing master data matching between heterogeneous software systems, and belongs to the technical field of data processing. The method includes the following steps: A) creating an intermediate comparison table and a basic data dictionary table in the database; B) synchronously loading the data in the system of the data updater into the intermediate comparison table and the basic data dictionary table; C) passing the intermediate comparison table and the basic data dictionary table The relationship comparison table completes the historical data comparison; D) Simultaneous synchronization of data operations to the intermediate comparison relationship table and the basic data dictionary table; E) Independent access control when the data synchronization party system loads data or initializes the data synchronization party system The database directly reads the intermediate comparison table and the basic data dictionary table to complete the matching of the main data. Compared with the prior art, the method of the present invention solves the problem of slow data synchronization caused by the data synchronizing party's system loading data, reduces the impact of large data volume on data synchronization, and reduces data maintenance costs.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for realizing master data matching among heterogeneous software systems. Background technique [0002] In order to meet the ever-increasing demand for real-time information from customers and business partners, enterprises often need to exchange data between different systems to improve data utilization and data reliability. Data exchange is an important part of various computer network applications, and it is the functional support level for exchanging and exchanging information between application systems. The connection between enterprises and enterprises is getting closer and closer, and data exchange and mutual access are often required on the network. How to enable convenient exchange of data from different regions, different enterprises, and different types is one of the important research issues in current IT technology. [0003] The traditional method ...

AI Technical Summary

Problems solved by technology

However, there are a large amount of data in the system of users in certain industries or enterprises. The process of synchronizing data requires a lot of maintenance due to the huge amount of data. One party performs a large amount of data maintenance work, which may also involve the maintenance of the intermediate table of the comparison relationship. The large amount of data makes maintenance difficult

Images