A New Big Data Processing Framework for the Online Roadshow
چکیده
The Online Roadshow, a new type of web application, is digital marketing approach that aims to maximize contactless business engagement. It leverages computing conduct interactive game sessions via the internet. As result, massive amounts personal data are generated during engagement process between audience and Roadshow (e.g., gameplay clickstream information). high volume collected valuable for more effective market segmentation in strategic planning through data-driven processes such as personalization trend evaluation. However, storage processing techniques used conventional analytic approaches typically overloaded environment. Hence, this paper proposed big framework improve processing, handling, storing these large data. provide better dual-mode solution both historical real-time scenarios. Multiple functional modules, Application Controller, Message Broker, Data Processing Module, Storage were reformulated efficient matches needs analytics procedures. Some tests conducted compare performance frameworks against existing similar verify fulfilling requirements Roadshow. experimental results evidenced multiple advantages compared frameworks.