Massive data analysis method based on cloud platform

Abstract

The invention discloses a massive data analysis method based on a cloud platform. The massive data analysis method comprises the following steps: S1, obtaining biological data from a gene sequencing device, and storing the obtained biological data in a cloud centre server; S2, dynamically setting a keyword, and acquiring the biological data matched with the set keyword from the cloud centre server through a network; S3, classifying the acquired biological data, and storing the classified biological data in corresponding databases; S4, sequentially performing information analysis, field analysis and relationship mining analysis of the biological data stored in the databases so as to obtain an analysis result and an analysis process framework, and establishing a data index table according to the analysis result; and S5,displaying the analysis result and the analysis process framework by calling the obtained analysis result and the obtained analysis process framework, and uploading the analysis result and the analysis process framework to the cloud centre server. By means of the embodiment of the invention, the analysis method is high in efficiency, clear in analysis result, good in readability and convenient for users to share.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a big data analysis method 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 efficiency of the data analysis method is not high, the analysis process framework cannot be seen, and the analysis resul...

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 efficiency of the data analysis method is not high, the analysis process framework cannot be seen, and the analysis results obtained are single and easy to share

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