Visualization processing method and system for big data based on memory calculations

A memory computing and data processing technology, applied in the field of data processing, can solve problems such as difficult program reuse, high time cost, error-prone manual programming, etc., and achieve the effect of easy-to-use experience

Inactive Publication Date: 2016-08-31
AGRICULTURAL BANK OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] At present, in the process of data processing, users need to write program codes to process and analyze data operations, which requires a high threshold for users, and manual programming is prone to errors, time costs are high, and programs are difficult to reuse. After the program or parameters are adjusted, it needs to be executed on the entire original data, and some reusable intermediate data results cannot be reused

Method used

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  • Visualization processing method and system for big data based on memory calculations
  • Visualization processing method and system for big data based on memory calculations
  • Visualization processing method and system for big data based on memory calculations

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Embodiment Construction

[0040] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than 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.

[0041] Such as figure 1 Shown is a method for visualizing big data based on memory computing disclosed in Embodiment 1 of the present invention, including:

[0042] S101. Obtain a node used for data processing;

[0043] When big data needs to be processed, the corresponding node is selected according to the needs of data processing. Each acquired node is responsible for data processing tasks, and each node stores the meta-information of its ...

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Abstract

The invention discloses a visualization processing method for big data based on memory calculations. The method comprises following steps: acquiring a node used for data processing; connecting the node according to the data processing demand and setting a node parameter in order to form a working flow; and triggering an execution engine to operate the working flow and outputting a processing result.The visualization processing method for big data based on memory calculations has following beneficial effects: by encapsulating the conventional data analysis process, a visualized work flow capable of hauling editing is utilized for data processing and mining; and by placing calculation processes and results into a memory, more agile and easily-used experience can be provided for users. The invention further discloses a visualization processing system for big data based on memory calculations.

Description

Technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and system for visual processing of big data based on memory computing. Background technique [0002] Under the wave of the Internet, the financial industry has also entered the era of big data. Facing the rapidly increasing amount of data, how to unearth useful information from the accumulated data, and then use it for further auxiliary operations, customer marketing, fraud detection, and cost reduction have become challenges and problems facing the financial industry. [0003] At present, in the process of processing data, users need to write program codes to process and analyze data. The threshold for users is high, and manual programming is prone to errors, high time cost, and difficult to reuse. After the program or parameter is adjusted, it needs to be executed on the entire original data, and some reusable intermediate data results cannot be reused. Sum...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2471G06F16/26
Inventor 赵维平刘龙王鑫毅钟新斌于雪龙
Owner AGRICULTURAL BANK OF CHINA
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