A system and a method for realizing a main data model version and field separated management function based on a big data environment

Abstract

The invention relates to a system for realizing a main data model version and field separated management function based on a big data environment. The system comprises a model version initialization module which is used for carrying out initialization operation on a basic table, and realizing the establishment of a model, the generation of a version number, the creation of a service field under amodel version, the effectiveness of the model version and the generation of a model version storage data table in a release library; The model version upgrading module which is used for revising according to the previous model version; The business field separation management module which is used for carrying out separation management on each model and business fields bound with the model; And theservice field operation module which is used for modifying the service field under the model version. The invention also relates to a method for realizing the function of separately managing the version and the field of the main data model based on the big data environment. By adopting the system and the method, the purposes of fine, flexible management, high efficiency and full use of data are achieved through separate management of model versions and fields, and multi-industry and multi-field main data management requirements are met.

Description

technical field [0001] The invention relates to the field of data version management, in particular to the field of master data template version and field management, and specifically refers to a system and method for realizing separate management functions of master data model versions and fields based on a big data environment. Background technique [0002] The development of informatization plays an indispensable role in the development of our country's cultural and technical fields. Government departments and enterprises are also deepening the construction of informatization. With the development of society, business systems are becoming more and more complicated. , so the amount of data that is generated and needs to be faced is very large, making the problems that need to be solved in the context of the big data environment very complicated. In the context of the big data environment, the crossover, integration and sharing of data not only provides relative convenience...

AI Technical Summary

Problems solved by technology

[0004] However, while using models to manage data, business requirements are constantly changing, and the data itself is also changing. Especially in the context of big data, maintaining a set of business fields in multiple versions of a model cannot meet the high-frequency use of data. Requirements, especially the need to revise and delete business fields under the current version, using the current management method will affect the data under the previous model version, which cannot meet the requirements, and thus cannot exert the due value of the data

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