Design and Implementation of Geographic Information Service System Based on Big Data Platform

The study of this paper aims at the problems of massive data storage, processing, analysis and continuous service faced by GIS, combined with the characteristics of GIS and cloud computing, open source Hadoop cloud computing platform, which is applied to the field of spatial information services. The distributed storage and parallel computing capabilities provided by Hadoop cloud computing platform are studied, and the application of Hadoop-based GIS is constructed. The key technologies in the system are also discussed. The prototype system of cloud GIS based on Hadoop is designed and implemented, and the key modules such as efficient storage and management of massive raster and vector data. The parallel computation of spatial data and spatial information service based on Hadoop are completed. The performance tests of the related modules verify the feasibility, validity and efficiency of the storage model and calculation model also proposed in this paper.