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 is not just a query language. It is becoming far more than that and its uses are expanding beyond just a database for spatial data. It allows for faster spatial analysis, supports spatial applications, enables spatial data science and machine learning, and far more. Because of these reasons I wanted to share a … Continue reading What is 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