Data processing system and data processing method applied to e-commerce platform

Abstract

The invention discloses a data processing system and data processing method applied to an e-commerce platform. The system comprises a data collection module used for collecting data of all sub platforms under the e-commerce platform, a data integration module used for conducting data integration processing on the data collected by the data collecting module, a data storage module used for storing the data processed by the data integration module, a data processing module used for extracting data from the data storage module to conduct data processing according to a service requirement and a data display module used for outputting the data processed by the data processing module to serve as a response to the service requirement. By means of the data processing system and data processing method applied to the e-commerce platform, redundant development can be avoided, the resource pressure of a master station is reduced, and a quick response to data access is facilitated.

Description

technical field [0001] The present invention relates to the field of data processing, and more specifically, to a data processing system and data processing method applied to an e-commerce platform. Background technique [0002] In the field of e-commerce, the business operation data of many e-commerce platforms are distributed and managed through multiple sub-platforms under the e-commerce platform, and each sub-platform independently conducts data analysis. For example, take the Shanrong business platform launched by China Construction Bank as an example, which includes a main website and multiple sub-platforms. The data analysis function of each sub-platform is a part of the function of the main station, coupled with other modules to develop but share storage resources, and the data analysis function is closely related to the main functions of the main station such as members, commodities, and transactions. With the increase of business, this design has the following dis...

AI Technical Summary

Problems solved by technology

[0003] 1: The data processing system needs to be developed separately for each sub-platform, which leads to a lot of redundant development;

[0004] 2: The increase in business leads to a sharp increase in the data volume of each sub-platform, which leads to data processing taking up more and more resources of the master station, and the time and labor costs are very high

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