Tourism Big Data Construction and Application Strategy Analysis -- Take Qiqihar Tourism Cultural Resources Publicity as an Example

Abstract

With the rapid promotion of big data on the Internet, the construction of “big data” in all walks of life has begun to take root. With the continuous rise of smart scenic spots and smart tourism, it is possible to obtain massive tourism big data. The purpose of this paper is to analyze the construction and application strategy of tourism big data based on the promotion of tourism cultural resources in Qiqihar. First of all, it analyzes the advantages and applicability of spark big data platform, and expounds the system module functions from three main aspects: background management module, information service module and big data analysis module. After studying the algorithm of scoring function, it selects the most commonly used centralized data storage engine on MySQL 5.6.17 for research and test. The experimental results show that the InnoDB storage engine takes 10 to 100 times more time than other engines, and the archive storage engine has the advantages of compressing storage and saving space, which is very suitable for storing visitors’ access information. The platform collects the cultural resources of Qiqihar, a new tourism city, through fine classification and index of resources, graphic and multimedia.