A data management method and management platform

Abstract

The invention provides a data management method and management platform. Standardized governance for multi-element, isomeric and multi-language data is carried out. B / S architecture design is adopted and data resource management and governance work configuration is completed via web pages; a distributed data cleaning and governance program is built at a back end via secondary development; the front-end configuration and the rear-end program architecture are combined, so that standardized cleaning and governance work for data can be completed automatically. The web page architecture multi-user mode facilitates man-machine interaction; the multi-thread and distributed technology of the rear end can complete cleaning work rapidly and efficiently; the development of cleaning technology is more inclusive; data cleaning work for multiple regions and multiple languages of the world is finished. A cleaning platform system disclosed by the invention is implemented in the B / S architecture and a synergic cleaning system is built by establishing a distributed environment, so that multi-end and multi-thread joint data governance is achieved and the adaptability of the cleaning methods is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data management method and management platform for data cleaning and data governance. Background technique [0002] With the rapid development of computer technology and communication technology, people can obtain more and more digital information, but at the same time, they need to invest more time in organizing and organizing the digital information. For example, in business systems, various and multi-form non-standard data are often generated due to factors such as language diversification, data format diversification, or data organization forms. For example, the payment time of an order may be DD:MM:YY, Or take the form of YYYY.MM.DD, these are data with inconsistent formats. Before performing statistical analysis on the data, it is necessary to manage the data or clean the non-standard data to ensure the accuracy of the statistics. Data cleaning is a process of r...

AI Technical Summary

Problems solved by technology

The existing cleaning technology has a single goal and cannot effectively solve multi-structure and multi-type data. The technical application has high requirements on the hardware system and high system cost. The processing method is limited by the database itself and the machine, and it cannot standardize multi-type data. A single processing method cannot be processed efficiently and conveniently

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