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This blog provides benchmarks and tips for working with big data, cloud platforms, and various geospatial datasets. It features in-depth analyses of large-scale open data, satellite imagery, and GIS software applications. The content covers a range of topics from data center locations to global building footprints and advanced imagery processing.

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The Tech Blog by Mark Litwintschik offers technical insights and performance benchmarks related to big data technologies and cloud platforms such as AWS and Google Cloud. A significant focus is placed on the analysis of massive geospatial datasets, including those from OpenBuildingMap, USGS, and various government agencies.

The blog frequently explores topics like building footprint analysis, American data centers, wind and solar farms, and global mining datasets. It delves into processing techniques for satellite imagery, including hyperspectral data from Planet Labs, and reviews tools like ArcGIS Pro for integrating open geospatial data such as Overture Maps. Tutorials on using Python libraries for tasks like straightening AI-detected building footprints are also featured.

Readers can find articles detailing how to work with large datasets of buildings in Canada and globally, analysis of Australian coastline imagery, and examinations of depth maps from iPhone Pro cameras. The blog serves as a valuable resource for those interested in geospatial data science, cloud-native processing, and big data analytics in a GIS context.

Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.

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