Design and implementation of a tourism big data analysis platform based on SpringBoot+Spark+Vue
With the development of the tourism industry and the acceleration of digitalization,smart tourism has become an important development direction for the tourism industry.The construction of a smart tourism big data platform can provide the tourism industry with more efficient and intelligent data processing and analysis capabilities,help tourism enterprises better understand market demand,optimize resource allocation,and improve service quality,thereby formulating more accurate marketing strategies and product development plans.This article is to filter,analyze,and visualize the data collected from the Internet and existing data related to Guilin scenic spots based on the combination of Scala language and Spark to read the data from HBase.Finally,a platform was implemented to analyze and visualize data from Guilin A-level scenic spots.The functional modules include three modules:scenic spot public opinion analysis,scenic spot passenger flow statistics,and customer source analysis.The various dimensions of A-level scenic spots were analyzed and sorted,and the satisfaction level of scenic spot public opinion was evaluated.
data analysis of Guilin A-level scenic areapublic opinion analysisSparkHBase
NETL
NSTL
万方数据
