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Multi-source heterogeneous data fusion method and apparatus

A technology of multi-source heterogeneous data and fusion method, which is applied in the fusion field of multi-source heterogeneous data, can solve the problems of high data fusion cost and high storage cost, and achieve the effect of reducing data fusion cost and storage cost

Active Publication Date: 2018-01-05
BEIJING QIANXIN TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, this method is aimed at data, and cannot reflect the relationship between objects according to the specific needs of users. Moreover, with the continuous increase of data, this method has problems such as high data fusion costs and high storage costs.

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  • Multi-source heterogeneous data fusion method and apparatus
  • Multi-source heterogeneous data fusion method and apparatus
  • Multi-source heterogeneous data fusion method and apparatus

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Embodiment Construction

[0028] In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0029] figure 1 This is a schematic flow chart of a multi-source heterogeneous data fusion method provided by an embodiment of the present invention, such as figure 1 As shown, the method includes:

[0030] Step 101: Obtain multiple objects configured by the user according to requirements and multiple object attributes corresponding to ...

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Abstract

Embodiments of the invention provide a multi-source heterogeneous data fusion method and apparatus. The method comprises the steps of obtaining a plurality of objects configured by a user according todemands and object attributes corresponding to the objects; obtaining an API data set, and according to the objects, the object attributes and the API data set, performing dynamic modeling to obtainan OPL dynamic model, wherein the API data set is formed by API conversion of multi-source heterogeneous data; and according to the OPL dynamic model, obtaining correlation relationships between the objects and API data, and a correlation relationship among the objects, thereby realizing multi-source heterogeneous data fusion. The apparatus is used for executing the method. By obtaining the objects, the object attributes and the API data set, the OPL dynamic model is built; through the OPL dynamic model, the correlation relationships between the objects and the API data, and the correlation relationship among the objects are obtained, so that the multi-source heterogeneous data fusion is realized; and therefore, the data fusion cost and storage cost are reduced while the correlation relationship among the objects is revealed for the user.

Description

Technical field [0001] The embodiment of the present invention relates to the technical field of big data processing, in particular to a method and device for fusion of multi-source heterogeneous data. Background technique [0002] With the rapid development of information technology, various national departments and industries have vigorously promoted the construction of informatization. After several years of development, various information systems related to specific businesses have been built in both national government agencies and enterprises. Due to the diversity of construction, such as the realization of technical diversity, different storage devices, and the diversity of data storage methods, a large amount of heterogeneous storage results. [0003] Business-related data has the following characteristics: heterogeneous data, including structured and unstructured; data polymorphism, static data and dynamic data; discrete data, data distributed in different systems; large...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 黄鑫张卓黄伟李秋生余毅张亦驰
Owner BEIJING QIANXIN TECH
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