Big data processing method and cloud service center based on artificial intelligence and cloud computing

Abstract

The embodiment of the present invention provides a big data processing method based on artificial intelligence and cloud computing and a cloud service center. By coordinating the big data mining event information activated by the business label and the big data service control activated by the business label, Obtain big data coordination service controls, thereby optimizing the big data service controls that can be executed. By coordinating big data mining event information with big data service controls, not only can it overcome the error-prone situation of big data service controls in the business scenario of big data service process initialization, but also realize the big data mining business in big data service controls At the same time of business adaptation, the target global big data service control with global consistency can also be obtained, thereby completing the mining business configuration of decision-making big data services, thereby reducing the probability of business configuration errors during the use of online cloud computing projects.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a big data processing method based on artificial intelligence and cloud computing and a cloud service center. Background technique [0002] Big Data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making, insight, and process optimization capabilities. Massive, high growth rate and diverse information assets. [0003] In related technologies, the generated online cloud services can reflect the user's behavioral feature information during the use of big data, so these online cloud services can be analyzed to update the big data push service in advance to reduce subsequent big data Increased response time when pushing service-only adaptive updates. Moreover, in order to facilitate the operation needs of each online service te...

AI Technical Summary

Problems solved by technology

However, the inventor found that in the current processing method, if the big data service control is not effectively updated in conjunction with the big data mining event in the business scenario of the big data service process initialization (for example, when it is used for the first time), it is prone to follow-up The accuracy of the big data mining process is not enough, which leads to a great increase in the probability of business configuration errors in the use of subsequent online cloud computing projects

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