Data processing method and system in computer equipment

Abstract

The invention provides a data processing method and system in computer equipment, wherein multiple data pieces are stored in the computer equipment; the data comprise first type data and second type data; the first type data are originally-collected data to be processed; the first type data comprise a first data item; the second type data are such data used for the processing of the first type data; the second type data comprise the first data item as well; and the data processing method comprises the steps of generating multiple original documents through the first type data, generating multiple intermediate documents through the second type data, combining the intermediate documents into the original documents respectively, splitting each combined document into multiple subdocuments by taking the single data piece in each combined document as a unit, and integrating the subdocuments as result documents respectively. Through the data processing method and system in the computer equipment, the data with the same data item can be associated and the data are classified by virtue of document operation; and therefore, the problems of data redundancy and low data processing efficiency are solved.

Description

technical field [0001] The invention relates to computer application technology, in particular to a data processing method and system in computer equipment. Background technique [0002] In the process of business processing, banks may generate a large amount of data, which are generally data stored in the database of computer equipment, such as user information, account information, account transaction information, etc., each piece of data has multiple data item. For example, the account information may include multiple pieces of account data, and each piece of account data has data items such as account number, account location, and account type. The system used to process banking business processes these data. In actual operation, such a system is required to be able to handle a variety of business needs. equipment, user self-service equipment, etc.) for data collection and data processing during data synchronization. Usually, these data are divided into multiple categ...

AI Technical Summary

Problems solved by technology

However, this typical approach to data processing has certain limitations:

[0004] First of all, multiple types of data are associated through data items. When a certain type of data is queried, all other types of data associated with this type of data are usually found first, and then, among all the queried data of various types Basically find out the required data, so that other types of data that are not needed for this business processing are also operated, so a lot of data redundancy is caused;

[0005] Secondly, in actual operation, the above-mentioned association is often performed on a large amount of data (especially hundreds of millions of pieces). Therefore, the data processing efficiency is very low, and the data processing time shows a geometric increase with the increase in the amount of data.

[0006] In actual banking operations, in order to ensure data synchronization with peripheral devices, etc., it is necessary to solve the above-mentioned problems of data redundancy and low data processing efficiency

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