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Storage method for centralized extensible fusion type multi-dimensional complex structure relational data

A multi-dimensional data and relational data technology, applied in multi-dimensional databases, relational databases, structured data retrieval, etc., to avoid loop nesting and improve query efficiency

Inactive Publication Date: 2016-11-09
SICHUAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0018] Aiming at the existing problems in data storage technology in the field of enterprise-level Web application platform development technology, the purpose of the present invention is to provide a centralized, scalable and integrated multi-dimensional complex structure relational data storage method to meet the requirements of high-level enterprises. Sparse and high-dimensional complex big data is an urgent need for analysis work

Method used

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  • Storage method for centralized extensible fusion type multi-dimensional complex structure relational data
  • Storage method for centralized extensible fusion type multi-dimensional complex structure relational data
  • Storage method for centralized extensible fusion type multi-dimensional complex structure relational data

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Embodiment

[0079] Based on the relevant system architecture design, other key technologies, and the theories, methods, algorithms and programming techniques discussed above in the present invention, the inventor has developed an enterprise-level Web application platform prototype software system—"economic and financial information decision-making management system", The function realization of the data storage module part of the prototype software system is realized by the theory, method and algorithm discussed in the present invention.

[0080] Taking economic indicators as an example, the economic indicators of concern are roughly as follows:

[0081] Table Economic Indicators

[0082]

[0083]

[0084] Theme settings:

[0085] Defined by the user, by configuring the relevant indicators involved in the theme, the required theme data can be successfully obtained.

[0086] Among the above 16 indicators, for the GDP (Gross Domestic Product) indicator, it is composed of 16 categori...

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Abstract

The invention discloses a storage method for centralized extensible fusion type multi-dimensional complex structure relational data. The storage method mainly comprises the following steps of: establishing a data transmission interface format; dynamically configuring attribute parameters; constructing a multi-dimensional data set relational database; constructing a relational data tuple model in the multi-dimensional data set relational database; constructing a relational data object model in the multi-dimensional data set relational database; constructing a dimension-extensible multi-dimensional data set relational database and constructing a multi-dimensional data set relational database of an extensible fusion type complex structure. The storage method disclosed by the invention is suitable for storing, analyzing and managing the large, medium and small-scale complex data of the enterprises, providing effective data with quality assurance for the user-oriented enterprise-level big data integration platforms, and providing an extensible and usable data storage and access technology, so that the storage and query performance problem of semi-structured, structured and non-structured data, small and big data, real-time data and history data.

Description

technical field [0001] The invention belongs to the technical field of enterprise-level Web application platform development, and in particular relates to a data storage method of a centralized, expandable and integrated multi-dimensional complex structure relationship. Background technique [0002] Data storage is not only the basis of enterprise-level Web data integration, but also an important part of all application platforms. The data storage method determines how the application platform accesses and processes the data. Different data characteristics and different needs of users for data processing methods determine the different data storage models. Reasonable data storage technology will ensure the availability and scalability of enterprise-level Web data integration from the source of data processing flow. [0003] After nearly 40 years of development, the traditional relational database storage technology has already become a mature mainstream data management and...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/22G06F16/283G06F16/284
Inventor 夏翔范轶翔黄宁王鹏
Owner SICHUAN UNIV
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