Data standardizing method and system

Abstract

The embodiment of the invention relates to a data standardizing method and system. The method comprises the steps that an interface management module recognizes data, to be stored, transmitted on a DOA resource bus; the interface management module generates route information of the data to be stored according to data storage logic; the interface management module determines a first data interface for capturing the data to be stored from multiple data interfaces according to the route information; the first data interface obtains the data to be stored from the DOA resource bus and encapsulates the data to be stored into data of a standardized data structure; the first data interface sends the data to a data management module connected with the first data interface for storage.

Description

technical field [0001] The invention relates to the computer field, in particular to a data standardization method and system. Background technique [0002] In recent years, service-oriented architecture (Service-oriented architecture, SOA) has been widely used. It sends application functionality as a service to end users or other services. It can distribute, compose and use loosely coupled coarse-grained application components through the network according to requirements. The service layer is the foundation of SOA, which can be directly invoked by applications, so as to effectively control the artificial dependence of the interaction with software agents in the system. [0003] However, in the era of big data, due to the limitations of the architecture, the long-standing problems in the field of information technology have become more prominent in the era of big data: it is difficult to share information between systems; it is difficult to expand the functions of establi...

AI Technical Summary

Problems solved by technology

[0003] However, in the era of big data, due to the limitations of the architecture, the long-standing problems in the field of information technology have become more prominent in the era of big data: it is difficult to share information between systems; it is difficult to expand the functions of established systems; massive, heterogeneous, multi-source, dynamic , real-time changes and explosive growth of big data are difficult to manage, analyze, and mine; business-oriented software engineering development process is complex, maintenance is difficult, and life cycle is short; information security is related to national security, social stability, corporate interests, and personal privacy , in the open environment of the Internet, the problem is more prominent; the interests of data providers are not guaranteed, etc.

Even the loosely coupled approach provided by SOA cannot meet the needs of the big data era

[0004] The reason is that under the SOA architecture, data management still adopts a heterogeneous management method, resulting in limited data sharing

If the problem of data standardization is not solved, the above-mentioned problems caused by data coupling cannot be fundamentally solved

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