Geospatial datasets are increasingly large, reaching terabyte and even petabyte scale, which can cause many challenges for geospatial analysts and educators–but Amazon AppStream 2.0 can provide some solutions. In this blog post, we walk through how to deploy QGIS, a no cost, open-source geospatial information system (GIS) application used by geospatial analysts, in Amazon AppStream 2.0. We also load an example dataset to demonstrate how desktop GIS application users can access large, cloud-hosted geospatial datasets with high performance by keeping the data and compute components together on the cloud, and streaming the desktop application instead of downloading the data itself.
Propelled by current global efforts, such as personalized medicine and cancer research, genomics has become an essential tool for modern medicine and biology. Computational genomics deals with the interpretation of genomics data, which is growing at an exponential scale due to quickly evolving next-generation sequencing technologies. Input data size for single samples can easily reach […]