Data processing method and system, storage medium and electronic equipment

Abstract

The invention provides a data processing method and system, a storage medium and electronic equipment. The method comprises the following steps: providing an interactive interface to display a plurality of preset data processing rules; wherein each data processing rule is used for realizing one or more steps in the whole data processing process; wherein the execution of each data processing rule is realized through one or more preset rule engines correspondingly associated with the data processing rule; obtaining one or more data processing rules needing to be executed through the interactiveinterface; and calling a preset rule engine associated with the one or more data processing rules needing to be executed to enable the called preset rule engine to execute the corresponding data processing rule so as to complete the corresponding data processing step. By means of the data processing method and system, non-professionals with data processing requirements can easily and efficiently achieve data mining and analysis, and data processing results are obtained.

Description

technical field [0001] The invention relates to the technical field of data analysis and mining, in particular to a data processing method, a data processing system, a storage medium, and electronic equipment. Background technique [0002] In the era of big data and artificial intelligence, data has gradually become one of the most important assets of enterprises and industries, and development decisions and market positioning behaviors will increasingly be made based on data analysis. As a competitive resource based on data analysis and information processing, the development of big data will face the opportunities and challenges brought by the new information space. The integration of relevant data can continuously generate new information and knowledge, which can help improve productivity and reduce operating costs. [0003] However, the current data mining development efficiency is low, the development is cumbersome and complex, requires strong professional knowledge, a...

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Problems solved by technology

[0003] However, the current data mining development efficiency is low, the development is cumbersome and complex, requires strong professional knowledge, and there is no unified tool or system simplified development model, which leads to the lack of comprehensiveness of data analysis itself, which is not conducive to enterprises to do all-round analysis

On this basis, it is difficult for enterprises to enhance their core competitiveness, and they cannot maintain or obtain an industry-leading position for a long time.

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