I took a real Shapefile with almost 1.1 million polygons and converted it to GeoParquet three different ways. The file went from over 1.4 GB of source data down to 246 MB, opened cleanly in QGIS, and ran spatial queries in seconds instead of minutes. The dataset was the New York City building footprints. Every […]
How to Build a Cloud-Native Spatial Data Lakehouse
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. […]
From Desktop GIS to Cloud: A Beginner’s Roadmap to Modern GIS Tool
Modern GIS is changing fast. If you’ve been working with QGIS, ArcGIS, or any other desktop GIS tool, you’ve probably hit some limitations—datasets getting too big, processing times slowing down, and collaboration becoming a challenge. The good news? The cloud offers a way forward. But how do you make that transition? How do you go […]



