Most spatial workflows today are still running on a foundation of folders, flat files, and fragile scripts. You’ve probably worked with shapefiles stored in six different places, Python notebooks that quietly break when a column changes, and a dozen versions of the same dataset ending in _final_v2_edit.shp. I’ve been there. But spatial data has changed. […]
Scaling GIS Workflows with COGs, Airflow, and Apache Iceberg
TOP OF THE STACK What we need to do with COGs COGs (Cloud-Optimized GeoTIFFs) are one of the most promising tools we have for making raster data truly cloud-native. They let you stream just the pieces you need, work remotely, and plug into modern geospatial systems without downloading giant files. But after working closely with […]