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Load geospatial data to Redshift, BigQuery, Snowflake, and PostGIS: The complete guide

Getting started with spatial SQL will always require one key step where many hit a roadblock – importing data into your spatial database. In a traditional GIS setting, this is as simple as dragging or dropping a file or simply clicking to load it. For databases and data warehouses, this requires a few more steps […]

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Building your spatial SQL toolkit

There are a ton of different ways to work with spatial SQL, but there are three different elements of every spatial SQL setup: The Spatial SQL Book – Available now! Check out my new book on Spatial SQL with 500+ pages to help you go from SQL novice to spatial SQL pro. This video will […]

Cloud-native GIS – what is the actual definition?

Lately, I have been discussing the concept of modern GIS, and while it doesn’t require the cloud to run (in fact a core principle is that it can be run locally or in the cloud) it does allow you to easily move to the cloud when ready. With that said not all things in the […]

GeoParquet will be the most important tool in modern GIS in 2022

Yes, (another) file format is the most important new development tool for the modern GIS stack in 2022. There is a ton of hype around tools, processes, and methods for making geospatial analysis faster and at scale, but what if the data (in this case vector data) was better formatted for different query performance both […]

Top Modern GIS Skills for Spatial Data Science in 2022

Spatial data science has been one of the fastest-growing career paths in modern GIS in the past few years. The combination of the boom in the data science path, proliferation and popularity of Python, and demand for more flexible/technical roles in data science and analytics have spilled over into modern GIS. Yet spatial data science […]