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One-stop big data visualization system and method

A big data and data view technology, applied in the field of big data analysis and visualization, can solve problems such as low efficiency of big data visualization application development, difficulties in digital transformation of enterprises, and obstacles to the implementation of one-stop big data visualization solutions

Pending Publication Date: 2021-10-15
上饶市中科院云计算中心大数据研究院
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Problems solved by technology

However, in view of the industry characteristics of wide sources of big data, high analysis dimensions, large data volume, diverse forms, and complex business scenarios, there is currently no set of unified standardized standard methods and devices, which leads to the development efficiency of enterprises building big data visualization applications. Low, the digital transformation of enterprises is difficult, and the implementation of one-stop big data visualization solutions is hindered

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  • One-stop big data visualization system and method

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0026] The one-stop big data visualization method and device provided by the embodiment of the present application determine the one-stop big data through the data source unit, data security authority unit, data view unit, visualization component unit, data portal unit and data display unit. Data visualization general components and functional modules can quickly help enterprises build a set of specialized, standardized, and customized big data visualization applications, and summarize and s...

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Abstract

The embodiment of the invention discloses a one-stop big data visualization system and method, and the system comprises a data source unit which is used for carrying out unified format processing of various types of data sources, and the data sources comprise but are not limited to a JDBC data source, a CSV data file, an XML file, and an Exce l file; a data view unit used for processsing data of the data source with the unified format by an editor and converting the data source into a data view; a visual component unit used for dragging and automatically generating a visual component according to the data view; a data portal unit used for creating a visual instrument panel according to the visual component; and a data display unit used for creating a display interface according to the visual component. According to the system and the method provided by the embodiment of the invention, one-stop big data visual management is realized.

Description

technical field [0001] The present application relates to the technical field of big data analysis and visualization, and in particular to a one-stop big data visualization system and method. Background technique [0002] With the advent of the big data era, the importance of big data visualization is becoming more and more obvious. Big data visualization can not only help companies analyze and tap potential user needs and markets, but also efficiently gain insight into the laws and principles behind massive data and information by taking advantage of the characteristics and advantages of human-computer interaction. However, in view of the industry characteristics of wide sources of big data, high analysis dimensions, large data volume, diverse forms, and complex business scenarios, there is currently no set of unified standardized standard methods and devices, which leads to the development efficiency of enterprises building big data visualization applications. Low, the di...

Claims

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Application Information

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IPC IPC(8): G06F16/26
CPCG06F16/26
Inventor 张林洪学海
Owner 上饶市中科院云计算中心大数据研究院
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