Card personalized data processing device and method

Abstract

An embodiment of the invention provides a card personalized data processing method. The card personalized data processing method includes the following steps that: (1) a platform database center receives client data and determines a client type according to the client data; (2) an address of a corresponding distributed client database and user name information are acquired from the platform database center according to the client type; (3) after the user name information is verified by a key management system, the client data is linked to the corresponding distributed client database; and (4) writing and reading of the client data can be performed in the corresponding distributed client database. The invention also correspondingly provides a card personalized data processing device, wherein the card personalized data processing device includes the platform database center, the distributed client database, and the key management system. The storage class of personalized client data can be further improved by adoption of the card personalized data processing device and method, and the high safety class requirement of client sensitive information such as financial data can be met.

Description

technical field [0001] The present application relates to the technical field of computer data processing, in particular to a card personalization data processing device and method. Background technique [0002] A key processing link in the personalization process of financial cards or social security cards and other card products is data conversion processing, because sensitive customer data is involved, and there is a very high security level requirement for the storage and preservation of customer data. At present, the entire industry generally adopts a single database storage scheme for the storage mode of customer data. Although the security of customer data is realized through the password protection of the database and the special encryption of data storage, the single database still faces the problem of low processing performance and low The storage space is large, and the database cannot be effectively used for disaster recovery. Generally speaking, the card center...

AI Technical Summary

Problems solved by technology

The traditional approach is to use a large database and build a database to store all customer data. After doing so, it will lead to: 1. The performance of the database will drop significantly, because the bottleneck problem of the database lies in the access of IO. When all customers store When in a data, it is necessary to connect to a database during data processing, which leads to a large amount of IO occupation and reduces the performance of the database.

2. Potential safety hazards of customer data. All customers are stored in a database. If a certain customer data is abnormal, it may affect other tables in the same database, bringing security risks

3. It is difficult to maintain customer data. Customer data is stored in one database. If necessary, maintenance of different data tables will be added, which will lead to errors such as duplicate tables and duplicate tables.

4 Unable to implement disaster recovery requirements

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