Data processing method and device and electronic equipment

Abstract

The invention provides a data processing method and device and electronic equipment, and the method comprises the steps of obtaining the current communication behavior data of a current user in real time, and enabling the current communication behavior data to comprise the current base station position information of a current base station accessed by the current user; writing the obtained currentcommunication behavior data into a message queue Kafka; carrying out real-time data processing on the current communication behavior data written into the message queue Kafka by utilizing a real-timestreaming data processing framework Sparkstreaming so as to obtain current base station position information; comparing the current base station position information with preset target base station position information, determining whether the current user enters a preset dangerous area or not, and wherein a target base station corresponding to the target base station position information is a base station to which the preset dangerous area is accessed; and when it is determined that the current user enters the preset dangerous area, forming first danger early warning information, and the first danger early warning information is used for prompting the current user to enter the preset dangerous area. According to the scheme, the data can be processed in time.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a data processing method and device, and electronic equipment. Background technique [0002] With the rapid development and wide application of mobile communication technology, a large number of mobile terminals are popularized among the public, and a large number of user information records are also generated. Mobile user behavior analysis usually refers to the behavior of users accessing the network and making calls based on geographic information. Operators can analyze and process user information by acquiring the behavior patterns of users accessing the mobile Internet, using mobile applications, and making calls. [0003] The existing data processing method is to completely separate online transaction processing and offline analysis from the time series through the big data processing model, and to accumulate and batch process the current data in hours ...

AI Technical Summary

Problems solved by technology

[0004] However, the existing technology accumulates and batch-processes the current data with hours or even days as the calculation cycle, which will lead to untimely data processing

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