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Geospatial datasets are growing increasingly voluminous, often reaching terabytes or even petabytes in size, posing significant challenges for geospatial analysts and educators. However, Amazon AppStream 2.0 offers effective solutions to these issues. In this article, we will explore how to deploy QGIS, a free and open-source geospatial information system (GIS) application favored by analysts, utilizing Amazon AppStream 2.0. We will also incorporate an example dataset to illustrate how users of desktop GIS applications can seamlessly access extensive, cloud-hosted geospatial datasets. This is achieved by integrating the data and compute resources in the cloud while streaming the desktop application rather than downloading the data itself.
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In conclusion, leveraging Amazon AppStream 2.0 helps mitigate the challenges posed by large geospatial datasets, making it an essential tool for modern geospatial analysis.