Metadata management method and management system

Abstract

The invention discloses a metadata management method and a metadata management system. The metadata management method comprises the following steps of: A, extracting codes formed by developing existing metadata in a metadata base; B, resolving mapping relationship information of the codes, and generating new metadata; and C, storing the new metadata into the metadata base. The metadata management method and the metadata management system of the invention resolve the codes in a development process and extract the metadata during compiling and developing a data processing program so that metadata information maintenance and practical production data can be synchronized in time, the content information is consistent and the manual maintenance workload of the metadata is reduced; the combination of the metadata and the production is improved at the same time to provide application effect and value; and the method and the system are favorable for quality management, flow monitoring and maintenance management in a requirement development process.

Description

technical field [0001] The invention relates to a business support technology, in particular to a metadata management method and a management system. Background technique [0002] In the field of data warehousing, metadata is defined as: data that describes data and its environment. Generally speaking, it serves two purposes. First, metadata can provide user-based information, such as metadata recording service description information of data items, which can help users use data. Secondly, metadata can support the management and maintenance of data by the system, such as metadata about the storage method of data items can support the system to access the data in the most efficient way. Specifically, in the data warehouse system, the metadata mechanism mainly supports the following five types of system management functions: (1) describe which data is in the data warehouse; (2) define the data to be entered in the data warehouse and the data generated from the data warehouse...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, there is an international standard theory of common warehouse metadata model (Common Warehouse Metamodel, referred to as CWM). However, CWM cannot realize the metadata acquisition between all systems or within the system, and the existing metadata acquisition methods have relatively large technical difficulty, difficult to achieve

At the same time, the use of CWM can only integrate production information afterwards to provide basic metadata information, and because information is difficult to organize or delay and omission, it is easy to fail to achieve accurate management of metadata due to incompleteness and progress.

[0004] Therefore, providing a metadata management method and system that can automatically obtain the relationship between production system data to solve the problem of out-of-sync metadata maintenance and production development has become an urgent technical problem in the prior art.

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