Every map traditionally starts with latitude and longitude. But if you are building modern data systems, raw coordinates are often too messy, too slow, and too heavy to scale effectively. There is a better framework that turns the planet into a manageable grid of unique identifiers: Discrete Global Grid Systems (DGGS). These frameworks—specifically H3, S2, […]
This wasn’t an episode I originally planned to record. But the more I saw conversations around imposter syndrome in GIS, the more I realized it needed to be said out loud. Because nearly everyone in this field — from students to senior data engineers — has felt that voice in the back of their mind […]
The GISP certification has been part of the GIS landscape for years. It shows up in job descriptions. Professionals debate whether it matters. And at some point, many GIS analysts wonder whether getting a GISP is worth the time, cost, and effort. I decided to find out by doing something simple. I took the GISP […]
At a minimum, you should be able to look at a map and know if you are standing in a flood zone. It sounds simple. We have spent billions of tax dollars scanning the entire surface of the United States down to centimeter accuracy. We have thousands of stream gauges monitoring water levels every 15 […]
You’ve built the pipelines. Your data is in cloud-native formats. You have a lakehouse architecture that can govern petabytes of spatial data. Now what? Now you need to actually query that data and extract insights from it. And this is where the rubber meets the road for cloud-native geospatial systems. The query engine you choose […]
