Data reconciliation method and device, electronic equipment and storage medium

Abstract

The invention relates to the field of big data, and discloses a data reconciliation method. The method comprises the steps: collecting reconciliation data, performing storage format unification processing on the reconciliation data to obtain standard reconciliation data, and storing the standard reconciliation data into preset message middleware; pre-processing the standard reconciliation data inthe message middleware by using a pre-configured reconciliation engine component of the standard reconciliation data to obtain target reconciliation data; and performing data reconciliation on the target reconciliation data by using a reconciliation algorithm in the reconciliation engine component to obtain a reconciliation result, and sending the reconciliation result to a corresponding user. Inaddition, the invention also relates to a blockchain technology, and the reconciliation result can be stored in a blockchain. According to the invention, timeliness of data reconciliation can be realized.

Description

technical field [0001] The present invention relates to the field of big data, in particular to a data reconciliation method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Data reconciliation is a process of monitoring whether the data in the upstream and downstream business systems are consistent, and is used to ensure that the data in the upstream and downstream business systems is correct. Data reconciliation is used in many industry fields, for example, in the financial industry. Since various business systems in the financial industry have strict requirements on data consistency, data reconciliation is an essential business link in the business system process of the financial industry and a powerful tool for detecting data inconsistencies in upstream and downstream business systems , is also the last resort to ensure that the data is correct. [0003] The traditional reconciliation method often needs to wait for a lon...

AI Technical Summary

Problems solved by technology

[0003] The traditional reconciliation method often needs to wait for a long time for reconciliation data, and at the same time, the complexity of day-end data logic results in low timeliness of data reconciliation, which will affect the efficiency of data reconciliation; in addition, the traditional It is difficult to achieve unified access and verification processing of reconciliation data, and the degree of configuration of reconciliation data is also poor, which will easily lead to repetitive development of many reconciliation programs, which will also affect data reconciliation aging

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