Study on Big Data Management Platform of Pro-poor Tourism

The model of the big data management platform of pro-poor tourism is single and the degree of virtualization is not high, which easily causes the unsatisfactory effect in platform management. In order to improve the management ability of big data, this paper proposed a design method of pro-poor tourism big data management platform based on Hadoop. In the information resources system, this method constructed the pro-poor tourism big data information management fusion model, using the information mining and data matching method for relevance integration management of the data resources and physical resources in the management platform. Our method built the multi-source information resources on the Hadoop platform and established the registration mechanism of customer interface, and used virtualization technology for the information protection achieving the management on the platform. Experimental results show that using this method for the management of pro-poor tourism big data, the classification and storage performance of pro-poor tourism information is good, and the accuracy of mining for abnormal data is high. It has a good ability to protect information management, ensuring the information management.