Graphical data model managing method and system based on metadata

Abstract

The invention provides a graphical data model managing method based on metadata. The method comprises the steps of utilizing a metadata management tool to collect metadata and set up a metadata base, utilizing a logic data model modeling tool and citing the metadata to set up a logic model, utilizing a physical data model modeling tool to generate a physical model through mapping of the logic model, and generating model data corresponding to a database table. The graphical data model managing method is realized through a graphical interface. The invention further provides a corresponding graphical data model managing system based on metadata. Based on the management and the application of metadata, the method and system manage metadata flexibly according to systems and classification, effectively manage the properties of metadata, integrate metadata and models, utilize data repeatedly, reduce data redundancy, and bring convenience to version management.

Description

technical field [0001] The invention relates to a data model management method and system, in particular to a metadata-based graphical data model management method and system. Background technique [0002] With the development of computer technology, there are more and more application systems used for data model management, and they are getting bigger and bigger. With the increase of data complexity, the management of data models has become a prominent problem faced by developers and users. Developers need effective ways to organize, manage and maintain massive data models and data. The role of metadata as information describing the content, quality, condition, and other characteristics of data has become increasingly important. Metadata includes business metadata and technical metadata, which can more effectively summarize and integrate data. [0003] Metadata management is an important part of the information management system. Reasonable and efficient management of meta...

AI Technical Summary

Problems solved by technology

[0005] 1. The standards are different and not related to each other, for example: data integration tools include PowerCenter, DataStage; modeling tools include PowerDesigner, Rose, etc.;

[0006] 2. The integration is inconvenient, and the products cannot be used in conjunction with each other;

[0007] 3. The management is inconvenient, and each product needs to be managed manually;

[0008] 4. Cannot provide support for expanding development data

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