The Application on distributed geospatial data management based on Hadoop and the application in WebGIS

GIS spatial big data presents the characteristics of massive, multi-source, heterogeneous, spatiotemporal, multiscale. The traditional GIS data storage technology can not meet the needs of GIS spatial big data management. In this paper, for the construction of lightweight WebGIS management system of Oilfield Engineering, aiming at the application requirements of 2D and 3D vector data in security, fault tolerance and scalability, the application strategy of distributed spatial data management technology in cloud environment is proposed, which has made progress in the aspects of high concurrent access of spatial data, fast data loading and high efficiency operation.