April 2018
Beginner to intermediate
440 pages
11h 36m
English
Content preview from Mastering Geospatial Analysis with Python
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Cloud geodatabase solutions
Cloud storage of geospatial data has become a common part of many GIS architectures. Whether it is used as a backup to an on-premises solution, replaces an on-premises solution, or is combined with a local solution to provide internet support for an intranet-based system, the cloud is a big part of the future of GIS.
With ArcGIS Online, CARTO, MapBox, and now MapD, the options for a cloud data store that support geospatial data are more numerous than ever. Each offers a visualization component and a different type of data storage and each will integrate with your data and software in different ways.
ArcGIS Online, while also offering stand-alone options (that is, direct data upload), integrates with ArcGIS Enterprise ...
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