Analysis of storage requirements of big data system for radio and television users

Huang He

Abstract


he Huang, Guangdong Innovative Technical College, date of birth: August 1973, nationality: Han nationality,
household registration: Guangzhou, Guangdong Province, education: Master of software engineering, lecturer in software, main research
direction: big data technology, software development, etc. Author email: Dynaudio8@126.com
Abstract: through the application of big data, grasp the characteristics of radio and television user groups and viewing behavior habits,
understand the actual characteristics and needs of customers, and provide personalized, accurate and intelligent recommendation services.
Provide users with a more direct, convenient and personalized user experience to retain customers and reduce the loss of customers. Based
on the demand analysis of media content and user service, combined with the big data platform architecture and data governance process,
this paper introduces the typical applications of radio and television big data platform and the mechanism of continuous data rolling, and
thinks about how to promote the digitalization of radio and television industry.

Keywords


Big data storage; Distributed system

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References


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DOI: https://doi.org/10.18686/esta.v10i1.304

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