Processing method for modular construction of multi-source main and auxiliary entity structures

Abstract

The invention discloses a processing method for modular construction of a multi-source main and auxiliary entity structure. The method comprises the following steps: forming a main entity static library index structure by using a main entity; constructing an entity dynamic library through an automatic triggering mechanism; the entity dynamic library is automatically supplemented and perfected according to the heterogenous affiliated entities, and self-growth of the entity dynamic library is promoted; and recording information such as application scenes of the entities. Through the technical methods of main entity static library automatic identification and construction, entity dynamic library automatic identification and construction, auxiliary entity automatic discrimination, entity dynamic library index system automatic improvement, application scene recording and the like, relatively unchanged data and frequently changed data can be distinguished, and static library and dynamic library hierarchical storage of multi-source data is realized; a data collection process and an application scene are recorded, and modular construction of main and auxiliary entity structures of multi-source data and associated storage and self-growth of the data are realized; and a feasible data storage solution is provided for data traceability and data association analysis.

Description

technical field [0001] The invention relates to the technical field of big data application, in particular to a processing method for modular construction of a multi-source main-attached entity structure. Background technique [0002] For tabular data from multiple sources, the indicators are diversified. Most of the existing processing technologies adopt the processing method of sub-source processing and sub-repository storage. This processing method mainly has the following problems: [0003] 1) The indicators are diverse and the data is complex. Because most of them adopt the processing methods of sub-source processing and sub-repository storage, there is a lack of a unified structure for expressing data relationships, and a standardized indicator system for expressing data relationships cannot be formed, resulting in numerous indicators, lack of a unified system, huge amount of data, and relatively independent. [0004] 2) Implicit relationships cannot be automatically ...

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Problems solved by technology

[0006] The present invention provides a processing method for modular construction of a multi-source main-attached entity structure, which is used to solve the problems of automatic construction of the main-attached entity structure and automatic data fusion of multi-period table data from different sources, application scene recording of the main entity and the attached entity, and Provide feasible data storage solutions for data traceability and data association analysis to solve problems such as automatic growth of entity dynamic libraries

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