Cross-platform collaborative transaction data processing method and related system
A transaction data and data processing technology, applied in the field of data processing, can solve the problems of vertical expansion mode of a single system, high operating costs of mainframes, and high licensing costs of commercial products, ensuring application reliability, avoiding the impact of transformation, and improving service life. Effect
Inactive Publication Date: 2019-11-01
INDUSTRIAL AND COMMERCIAL BANK OF CHINA
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[0003] At present, with the rapid expansion of Internet financial services, the system architecture of traditional financial institutions is facing greater challenges: First, in terms of processing capacity, the system scale is large, centralized architecture, single system vertical expansion mode, and poor expansion ability; Mainframe operating costs are expensive, commercial product licensing costs are high
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[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0067] Considering that the existing system architecture of financial institutions is facing great challenges: first, in terms of processing capacity, the scale of the system is large, centralized architecture, single system vertical expansion mode, poor expansion ability; second, the operation cost of mainframe is expensive, commercial Product licensing fees ...
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The embodiment of the invention provides a cross-platform collaborative transaction data processing method and a related system. The cross-platform collaborative transaction data processing method comprises the steps: carrying out the transaction inspection of request data corresponding to a current transaction request through the application of service data which is stored locally and is used forthe transaction inspection; if the request data passes the transaction check, judging whether the non-real-time data stored locally contains corresponding service data for data processing or not according to the current data processing type of the request data, and if so, performing transaction processing on the request data by applying the service data for data processing; and sending the request data after transaction processing and the data version number information to a host system, so that the host system performs transaction security verification on the request data after transaction processing. According to the cross-platform collaborative transaction data processing method, in the data transaction process, the transformation influence on the host system caused by calling and accessing the data in the host system can be effectively avoided, and meanwhile, the data consistency in the host system and the open platform system can be ensured.
Description
technical field [0001] This application relates to the technical field of data processing, and specifically relates to a cross-platform collaborative transaction data processing method and a related system. Background technique [0002] The informatization work of traditional financial institutions represented by banks started earlier. The early core systems mainly adopted a centralized architecture based on host systems and DB2 databases, which better supported customer management, deposit and loan, payment and settlement and other businesses. [0003] At present, with the rapid expansion of Internet financial services, the system architecture of traditional financial institutions is facing greater challenges: First, in terms of processing capacity, the system scale is large, centralized architecture, single system vertical expansion mode, and poor expansion ability; Mainframe operating costs are expensive, commercial product licensing costs are high. As a result, more and...
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IPC IPC(8): G06Q40/02G06Q40/04
CPCG06Q40/02G06Q40/04
Inventor 程灿权郁巍陈颖妍
Owner INDUSTRIAL AND COMMERCIAL BANK OF CHINA