Cloud platform-based big data analysis device

Abstract

The invention discloses a cloud platform-based big data analysis device. The device comprises a cloud service module, a data matching module, a data classification module, a data analysis module and a display module, wherein the cloud service module is used for obtaining biological data and storing the obtained biological data; the data matching module is used for dynamically setting keywords and collecting biological data matched with the set keywords from the cloud service module; the data classification module is used for classifying the collected biological data and storing the data into a corresponding database; the data analysis module is used for sequentially carrying out information analysis, field analysis and relationship mining analysis on the biological data stored in the database so as to obtain an analysis result and an analysis flow frame, and establishing a data index table according to the analysis result; and the display module is used for calling the obtained analysis result and analysis flow frame, displaying the analysis result and the analysis flow frame, and uploading the analysis result and the analysis flow frame to the cloud service module. By adopting the cloud platform-based big data analysis device, the analysis efficiency is high, the analysis result is clear, the readability is good and the users can share conveniently.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a big data analysis device based on a cloud platform. Background technique [0002] With the continuous development of human society, people pay more and more attention to various industries related to life science and technology. It includes a series of genome research on important animals and plants, human health, microorganisms, marine organisms, and bioenergy. Gene technology can benefit mankind. , to promote the vigorous development of the bio-economy industry. These mainly involve work such as gene and protein sequencing. In the current work of gene and protein sequencing, after the work of sequencing and data sorting is completed, it is necessary to analyze a large amount of biological data and submit the analysis results to the user. However, existing The analysis efficiency of the data analysis device is not high, the analysis process framework cannot be obtained, the analy...

AI Technical Summary

Problems solved by technology

These mainly involve work such as gene and protein sequencing. In the current work of gene and protein sequencing, after the work of sequencing and data sorting is completed, it is necessary to analyze a large amount of biological data and submit the analysis results to the user. However, existing The analysis efficiency of the data analysis device is not high, the analysis process framework cannot be obtained, the analysis results obtained are single, and it is not easy to share

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