Intelligent interconnection big data processing system

Abstract

The invention relates to the technical field of big data processing, and discloses an intelligent interconnection big data processing system, which comprises a data input unit, a data processing unit, a data classification unit and a data information layering unit, and the data input unit comprises data input positioning analysis, data input category analysis and input data weight analysis, the data input category analysis refers to analyzing data which is already input into the system from external original data, after the input data is subjected to data input category analysis, the system carries out weight analysis on the data again, and the system locates the storage position of the data through the weight analysis. According to the invention, the weight coefficient of the system is large, the data with high activity is processed into top data, and the data with small weight coefficient and low activity is processed into settlement data, so that interference of the data with small weight coefficient and settlement information on manual data processing is avoided.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to an intelligent interconnected big data processing system. Background technique [0002] Today, with the rapid popularization of broadband Internet access technology and smart terminals, network data capacity, processing data volume and data intensity increase much faster than any period; the era of big data has quietly arrived, and large-scale data processing systems have also emerged as the times require. There are many types of big data processing systems, and there is no recognized classification method at present. In order to clearly grasp the development status of technologies, the representative systems are classified here from the perspectives of load type and data type. On the one hand, the types of various systems are clarified. Scope of application, on the other hand, can see unresolved blank areas. [0003] It is difficult for most enterprises to bear the ...

AI Technical Summary

Problems solved by technology

[0002] Today, with the rapid popularization of broadband Internet access technology and smart terminals, network data capacity, processing data volume and data intensity increase much faster than any period; the era of big data has quietly arrived, and large-scale data processing systems have also emerged as the times require. There are many types of big data processing systems, and there is no recognized classification method at present. In order to clearly grasp the development status of technologies, the representative systems are classified here from the perspectives of load type and data type. On the one hand, the types of various systems are clarified. Scope of application, on the other hand can see unresolved blank areas

[0003] It is difficult for most enterprises to bear the huge human cost of mastering various data analysis technologies at the same time. In the process of data input and storage, the screening of data is not strong, and it is difficult to remove junk information, which makes some data with small weight coefficients take up too much Storage space, and due to the confusion of unimportant information, it is extremely difficult to manually screen and interfere with manual processing data

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