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《Geospatial Information》 2014-01
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Massive Spatial Data Storage and Parallel Based on MongoDB

In the distributive environment, the current method for storage and processing of massive spatial data were mostly based on the traditional relational database. Due to its particular relation mode, the fast access and treatment ability for massive spatial data was limited. So it is not an ideal database for two or three dimension spatial data storage. So how to utilize the non-relational database to realize the ei cient storage and the fast processing under distributed environment possess important research signii cance.
【Fund】: 江西省教育厅科技资助项目(GJJ13431)
【CateGory Index】: P208;TP311.13
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Chinese Journal Full-text Database 2 Hits
1 CAO Yan-ting,SUN Cui-hua(Department of Information and Machanical Engineering,Suzhou Polytechnic Institute of Agriculture,Suzhou 215008,China);Data Storage of Cloud Computing Environment[J];Coal Technology;2012-09
2 Wan Bo;Dang Qi;Yang Lin;Faculty of Information Engineering,China University of Geoscience(Wuhan);;RESEARCH AND IMPLEMENTATION OF MANAGING MAPGIS K9 TILE MAP SET BASED ON HDFS[J];Computer Applications and Software;2013-12
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