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

Abstract

The embodiment of the invention provides a big data processing method based on artificial intelligence and cloud computing and a cloud service center, and the method comprises the steps: carrying outthe coordination of big data mining event information activated by a business label and a big data service control activated by the business label, and obtaining a big data coordination service control; therefore, the executable big data service control is optimized. The big data mining event information and the big data service control are coordinated, so that the condition that the big data service control is easy to make mistakes in a business scene of big data service process initialization can be overcome, and business adaptation of big data mining business in the big data service controlis achieved, in addition, a target global big data service control with global consistency can be obtained, so that mining service configuration of decision big data services is completed, and the service configuration error probability of online cloud computing projects in the use process is reduced.

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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