Mass data comprehensive management system and method

Abstract

The invention provides a mass data comprehensive management system and method. In the process of managing and operating the system, such as roads and bridges, municipal administration and the like, micro-applications and multiple functions in the system as required; based on management strategies of various data, the three-phase relationship between the data structure body, the corresponding application of the data structure body and operators are innovatively considered; according to the method, tag-based storage, tag-based classification, data attention of applications and application attention logic of the data are proposed, and bidirectional attention is not equivalent, so that adaptive coupling of the applications and the logic is improved, differential management precision of the data under a multi-application management platform is enhanced, and data mapping is well tracked.

Description

technical field [0001] The invention belongs to the field of new generation computer information technology, and in particular relates to a massive data comprehensive management system and method. Background technique [0002] The information age has brought new prospects for the comprehensive management of data, and at the same time introduced greater challenges for the comprehensive management of data. How to manage big data in a comprehensive and multi-application system according to different applications and different operators is an important issue in the current information data management. [0003] In the process of implementing system integrated management, there are often multiple users, and the system generally has services or application functions of various granularities. Each application, function, and service has different data requirements, and some applications or services have There are also exclusive requirements or copy requirements. [0004] "Big data"...

AI Technical Summary

Problems solved by technology

[0020] In the process of massive data management, the inventors realized that in a comprehensive and multi-application system, the degree of differentiated and refined management of massive data according to different applications and different operators is generally not high, resulting in the current informatization of data management. The data mapping and data comprehensive management methods in the system are not sound enough, and it is impossible to propose a personalized attention management method based on the mutual concern relationship between applications and data, that is, based on the focus of specific applications on specific data, or the focus of specific data on specific applications

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