ArcPy to Cloud Migration
A practical guide to migrating from desktop GIS to cloud-native pipelines. When it makes sense, when it doesn't, and how to execute without burning the team out.
Open-Source Equivalents
The complete ArcPy to GeoPandas/Rasterio translation guide. What maps 1:1, what needs rethinking, and what has no equivalent.
- →Function-by-function mapping
- →Memory management patterns
- →Hybrid architecture when needed
Choosing Your Platform
Databricks vs AWS vs Azure vs GCP for geospatial. Decision criteria based on your existing infrastructure, team skills, and workload patterns.
- →Platform comparison matrix
- →Migration path by starting point
- →Cost modelling by scale
Start with Part 1:
The Business Case
Before diving into technical migration, understand the real costs and benefits. Sometimes staying on ArcPy is the right answer. This post helps you figure out which situation you're in.
AI Agents for Geospatial Automation
How AI agents actually automate legacy GIS workflows. Not chatbots. Agents that do the work.
Geospatial on Databricks
Practical guide for teams running geospatial on Databricks. Volumes gotchas, Jobs API patterns, and critical mistakes to avoid.