Big data state monitoring system

Abstract

The invention discloses a big data state monitoring system. The system comprises a data acquisition unit, a data analysis unit, a division unit, a database and a personal storage unit, the data acquisition unit is used for acquiring storage information, and the storage information comprises storage name data, storage time data, browsing frequency data, browsing time data, transmission frequency data, transmission time data and storage size data. The data analysis unit is used for carrying out data analysis on the storage information acquired in the data acquisition unit, classifying the storage data according to character data in the storage name data, and carrying out data loss value calculation according to the browsing frequency, the transmission frequency, the average browsing durationof each time, the average transmission duration of each time, the transmission duration data of each time and the browsing duration data of each time; the accuracy of stored data analysis is improved, the accuracy of data analysis is ensured, the calculation time is saved, and the working efficiency is improved.

Description

Technical field[0001]The invention relates to the technical field of data monitoring, in particular to a state monitoring system for big data.Background technique[0002]Big data, IT industry terminology, refers to a collection of data that cannot be captured, managed and processed with conventional software tools within a certain time frame. It requires a new processing model to have stronger decision-making, insight and discovery, and process optimization capabilities. Mass, high growth rate and diversified information assets.[0003]A massive data monitoring system with the authorized announcement number CN105071994A. This massive data monitoring system solves the difficult problem of data collection and monitoring caused by the large amount of data in industry applications, and realizes distributed and parallel data collection and processing , From data source to pre-acquisition to background real-time processing, it is a separate data processing channel, which fully solves the conc...

AI Technical Summary

Problems solved by technology

[0006](1) How to analyze the stored information obtained in the data acquisition unit through the setting of the data analysis unit, and store the data according to the character data in the stored name data Classify, and calculate the data loss value according to the browsing frequency, transmission frequency, each average browsing time, each average transmission time, each transmission time data and each browsing time data, to solve the problem that the existing technology cannot store information problems with performing precise calculations;

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