Data checking method and device, electronic equipment and storage medium

Abstract

The invention provides a data checking method and device, electronic equipment and a storage medium. The method comprises the following steps of using a preset monitor for recording data change conditions of a checking table and a reference table corresponding to each checking rule; in the process of executing data check of the first check rule for the non-first time, obtaining data change conditions of a check table and a reference table corresponding to the first check rule, and a last check result of the first check rule; and obtaining the current check result of the first check rule according to the data change conditions of the check table and the reference table corresponding to the first check rule and the last check result of the first check rule. The current check result of the first check rule is obtained by utilizing the data change conditions of the check table and the reference table corresponding to the first check rule and the last check result of the first check rule, and all data in the check table and the reference table does not need to be obtained from the data source every time check is carried out, so that read-write pressure of a data source server can be reduced. Data check efficiency is enhanced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a data checking method, device, electronic equipment and storage medium. Background technique [0002] With the continuous development of information applications, data has become one of the most valuable assets. There is a direct link between an enterprise's data quality and business performance, and high-quality data can improve a company's competitiveness. How to process massive data and obtain high-quality data has become the focus of attention of various industries. Data quality analysis supports the monitoring of business indicators and data quality, and can analyze data from six dimensions of completeness, validity, timeliness, accuracy, and uniqueness. Data quality inspection can help users discover data quality problems in a timely manner. Correct problems in time to reduce losses. However, in today's information explosion, the types and volume of data hav...

AI Technical Summary

Problems solved by technology

[0004] However, with the above data verification method, each time the verification task is performed, it is necessary to repeatedly obtain all the data in the verification table and the reference table from the data source. The read and write pressure of the data source server is high, and the data verification efficiency is low.

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