Cross-data-center data dictionary sharing method for financial institution

Abstract

The invention relates to a cross-data-center data dictionary sharing method for financial institutions, and the method is characterized in that a data dictionary sharing management system is created for the data center of each financial institution; and message queue middleware for creating message channels for transmission of data dictionaries of data centers of financial institutions of all parties is deployed in respective DMZ areas, and the message queue middleware reads and writes the shared data dictionaries through a synchronization module. Compared with the prior art, the method has the advantages that the efficiency of data dictionary sharing application work is effectively improved, and management is more convenient and intelligent.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a cross-data-center data dictionary sharing method for financial institutions. Background technique [0002] In the application management module of the enterprise, the key work of the data center is the collection, storage, sharing and release of core data. Core data and collection interfaces are the core assets of an enterprise and constitute the core business of the data center. Data integration and application integration are increasing, and the core position of the data center in the construction of information technology is becoming more and more obvious. It provides more data services for the business, but it also faces problems in technology and management. Banking, insurance and other financial industries generally have self-built data centers, and privatize and deploy software systems in self-built data centers. Even for consumer finance, banks, insurance companies,...

AI Technical Summary

Problems solved by technology

Since each data table is deployed in its own data center, subject to its strict network management constraints, each software system cannot directly access the other party's data dictionary

Instead, the demand side needs to put forward the business requirements. After the two parties communicate the scope of the requirements, the data dictionary description document is sent offline, and the two parties need to negotiate multiple times. The model changes, and the offline operation update is not timely, so that the demand side cannot obtain the update in real time; in addition, the second half of the data dictionary sharing still needs to carry out subsequent data analysis, joint modeling and other automated work, and the offline manual operation cannot guarantee the business at all. coherence

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