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A cross-database big data analysis system and analysis method

An analysis system and analysis method technology, applied in database models, relational databases, structured data retrieval, etc., can solve problems such as the inability to eliminate the logical isolation of data, different understandings and definitions, and the inability of data to become valuable application data.

Active Publication Date: 2021-05-18
北京华成智云软件股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this storage method cannot eliminate the logical isolation of data. The understanding and definition of data in different databases are still different. The association between databases and the response of data to applications cannot be satisfied, and data cannot become valuable and directly Application data that provides the service

Method used

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  • A cross-database big data analysis system and analysis method
  • A cross-database big data analysis system and analysis method
  • A cross-database big data analysis system and analysis method

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Embodiment Construction

[0037] The idea, specific structure and technical effects of the present invention will be further described below in conjunction with the accompanying drawings, so as to fully understand the purpose, features and effects of the present invention.

[0038] refer to figure 2 , the cross-database big data analysis system of the present invention includes a service understanding module, a service generation module, a service database and a manual intervention module. The service understanding module is used to generate an intelligent service model through deep learning, aggregate the services provided by each isolated database, and enter the available services into the service database. The service generation module is used to respond to new service requests, and select corresponding services from the service database to push. The service database is used to store aggregated new services. The manual intervention module is used to manually modify the service selected by the ser...

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Abstract

The invention relates to a cross-database big data analysis system and analysis method. The analysis system includes a service understanding module, a service generation module and a service database. The service understanding module is used to generate an intelligent service model through deep learning, aggregate the services provided by each isolated database, and enter the available services into the service database. The service generation module is used to respond to new service requests, and select corresponding services from the service database to push. The service database is used to store aggregated new services. From the perspective of natural language understanding, the analysis method of the present invention endows data in mutually isolated databases with common meaning and similarity, associates and aggregates similar services together, and provides direct services across databases for upper-layer applications. Solve the logical isolation of data and the response to application services, make each isolated database compatible with each other, make the data in the database interrelated, more interactive, and more valuable.

Description

technical field [0001] The present invention relates to the field of big data analysis, such as government affairs big data analysis, smart city big data analysis, etc., and specifically relates to a cross-database big data analysis system and analysis method. Background technique [0002] Data islands mean that the data in each database cannot (or is extremely difficult) to connect and interact, that is, there is a lack of correlation between the data, and the databases are isolated and incompatible with each other. There are two types of data silos: physical and logical. Physical data islands refer to the fact that data are stored and maintained independently in different departments, and are independent of each other, forming physical data isolation. Logical data islands mean that different departments understand and define data from their own perspectives, so that some of the same data are endowed with different meanings, which virtually increases the communication cost...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/28
CPCG06F16/284
Inventor 胡洪涛娄健孙鸿
Owner 北京华成智云软件股份有限公司
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