Heterogeneous data analysis method and device based on machine learning model and medium

A machine learning model and heterogeneous data technology, which is applied in the field of heterogeneous data analysis based on machine learning models, can solve the problems that machine learning models cannot be directly applied, and cannot unify multi-source heterogeneous system data, so as to reduce labor costs , saving storage space and improving analysis efficiency

Pending Publication Date: 2021-08-27
INSPUR COMMON SOFTWARE
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Problems solved by technology

[0004] The embodiment of the present application provides a heterogeneous data analysis method and device based on a machine learning model to solve the problem that the existing machine learning model cannot be directly applied to ETL, and therefore cannot unify data in multi-source heterogeneous systems technical problem

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  • Heterogeneous data analysis method and device based on machine learning model and medium
  • Heterogeneous data analysis method and device based on machine learning model and medium
  • Heterogeneous data analysis method and device based on machine learning model and medium

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[0023] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0024] The embodiment of the present application provides a heterogeneous data analysis method, device, and medium based on a machine learning model. After determining the machine learning model corresponding to the heterogeneous data to be processed according to the purpose of data analysis, the prediction model markup language based on JAVA, The par...

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Abstract

The invention discloses a heterogeneous data analysis method and device based on a machine learning model and a medium, and aims to solve the technical problem that data in a multi-source heterogeneous system cannot be unified due to the fact that an existing machine learning model cannot be directly applied to ETL. The method comprises the following steps: deploying a machine learning model to a server; analyzing the machine learning model into a standard format through a prediction model markup language, and outputting the analyzed machine learning model according to a data stream mode; based on the analyzed machine learning model, analyzing the to-be-processed heterogeneous data; and outputting an analysis result of the to-be-processed heterogeneous data. According to the method, the machine learning model is analyzed into the standard format, so that the heterogeneous data in the heterogeneous system is unified, the problem that the machine learning model can be integrated with the heterogeneous data only by manually writing codes is avoided, and the labor cost is reduced.

Description

technical field [0001] The present application relates to the technical field of enterprise informatization, and in particular to a heterogeneous data analysis method, device and medium based on a machine learning model. Background technique [0002] With the wide application of new Internet technology and big data technology, the information development of enterprises pays more and more attention to data asset management. When enterprises carry out informatization construction, the first task is to establish their own data management system, and the construction of data management system often involves the aggregation of data from various business systems. In the daily production and operation process, enterprises often include multi-source heterogeneous business systems, such as: human resource system (HR), financial management system (FM), enterprise resource management system (ERP), product life cycle management system (PLM), Product Data Management System (PDM), Supply...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/25G06F16/215G06N20/00
CPCG06F16/258G06F16/215G06N20/00
Inventor 李则江
Owner INSPUR COMMON SOFTWARE
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