For decades, GIS has lived in a world of its own. Specialized software. Obscure formats. A profession that, despite being critical to everything from climate modeling to logistics, has remained siloed from the rest of the data world. But that’s finally starting to change. In the latest episode of the Spatial Stack podcast, I sat … Continue reading Breaking the GIS Silo: Why GeoParquet and Iceberg are the key to Spatial Analytics at Scale
Spatial SQL Cookbook: Common GIS Analyses in Spatial SQL
One of the biggest challenges, at least for me, when getting started with spatial SQL is having a quick and easy reference to transfer your current GIS workflows into SQL. There are many amazing resources out there to expand this knowledge, but this guide is meant to be a really simple cookbook to start to … Continue reading Spatial SQL Cookbook: Common GIS Analyses in Spatial SQL
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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 … Continue reading Scaling GIS Workflows with COGs, Airflow, and Apache Iceberg
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 … Continue reading From Desktop GIS to Cloud: A Beginner’s Roadmap to Modern GIS Tool