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AI optimization data governance method

A technology for optimizing data, data collection and processing, applied in the field of data governance, can solve the problems of inability to convert synonyms, insufficient data association, high requirements for technical developers and business users, and improve the mining of association and blood relationship. , Improve data quality and avoid the effect of excessive human experience interference

Pending Publication Date: 2020-04-28
BEIJING ZHONGCHUANG TELECOM TEST
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the current data governance uses standard ETL, which only merges keywords and business rules without semantic integration and intelligent policy configuration templates. not related enough
Existing data governance technologies, according to different industry application scenarios, mostly use keys in technical metadata (such as database table definitions) for ETL, and cannot perform synonym conversion comparisons and semantic correlation analysis of data
Existing technical solutions generally have the characteristics of customized development and complex implementation, and have high requirements for technical developers and business users

Method used

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] see Figure 1-2 , the present invention provides a technical solution:

[0024] AI data collection and processing, AI optimization metadata and intelligent data quality assessment management; AI data collection and processing include: data access, data conversion, data loading, policy template preservation and data quality assessment management; AI optimization metadata includes: technical metadata and business metadata; intelligent data quality assessm...

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Abstract

The invention discloses an AI optimization data governance method. The method comprises the steps of AI data acquisition and processing, AI metadata optimization and intelligent data quality evaluation management. The AI data acquisition processing comprises data access, data conversion, data loading, strategy template storage and data quality evaluation management; wherein the AI optimization metadata comprises technical metadata and service metadata; and the intelligent data quality evaluation management adopts AI to define a conversion rule, and extracts a data quality evaluation dimension.According to the scheme of the invention, the AI technology is introduced into data management; improvement of data quality, the mining of the association relationship and the blood relationship between the data is improved; a unified strategy template library is provided, strategy templates for data governance of all industries are enriched through AI learning, the technologies of classificationlearning, function learning, regression and the like are innovatively introduced, the conversion rule of the data quality evaluation standard and the weight of each dimension are dynamically adjusted, and the problem of overweight interference of human experience is avoided.

Description

technical field [0001] The invention relates to AI optimized data governance technology, belongs to the field of data governance, and specifically relates to an AI optimized data governance method. Background technique [0002] Many data systems currently in use are all chimney-like constructions in a certain field due to historical construction reasons. Most of them belong to isolated data islands and cannot be interconnected. Therefore, it is difficult to mine data correlations and analyze blood relationship between systems. The value of data is greatly reduced, thus giving birth to a data governance system. [0003] Data governance is to extract all kinds of data in a unified manner, and discover the relationship between data through various customized technical methods, and form a unified data resource pool for external service. The overall goal of data governance is to improve data quality, ensure data security, and realize the sharing and integration of data resources...

Claims

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Application Information

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IPC IPC(8): G06F16/25G06F16/215G06N20/00
CPCG06F16/254G06F16/215G06N20/00G06N5/022G06N20/20G06N5/04
Inventor 关淞元唐浠梣唐井宝
Owner BEIJING ZHONGCHUANG TELECOM TEST
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