Data middle platform system and data processing method and device

Abstract

The invention provides a data middle platform system and a data processing method and device. The system comprises a central data middle platform and a plurality of edge data middle platforms, wherein the plurality of edge data middle platforms are arranged in different areas and are used for performing data governance on the corresponding areas and sending corresponding data governance results to the central data middle platform; and the central data middle platform is used for processing the data governance results sent by the edge data middle platforms to obtain data meeting user requirements. According to the invention, through the edge data middle platforms arranged in all the areas, data governance can be carried out on all the areas, and the system has the characteristics of low starting cost and short implementation period; and all the edge data middle platforms send the data governance results to the central data middle platform, and the amount of data is less than that of original data due to the fact that the edge data middle platforms upload the data governance results, so that the data transmission, storage and processing costs can be reduced.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a data center system, a data processing method and a device. Background technique [0002] At present, the data center has become the only way for the digital transformation of the traditional manufacturing industry to embrace big data technology. The data center has brought many benefits to the manufacturing industry, but its complexity and construction costs have also limited many manufacturing companies to try. , especially the process manufacturing enterprises with many factories, such as cement, solid waste, steel and so on. The factory areas of these enterprises are distributed across the country, the data is scattered, and the level of informatization is poor, but they have strong data management needs of the group center. When building a data center, the traditional method is to build a data center at the center of the group and collect data from each f...

AI Technical Summary

Problems solved by technology

When building a data center, the traditional method is to build a data center at the center of the group and collect data from each factory area for statistical analysis. However, due to the huge amount of data in each factory, bandwidth, storage, and computing costs are extremely high; Moreover, due to the differences in the information construction of each factory, it is also very difficult to standardize the data

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