SERIES2 OF 3 PUBLISHED
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.
3 parts
48 min total
3
COMING SOON16 min
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
BEGIN THE SERIESStart with Part 1:
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.
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SERIESParts 1-2 Available
AI Agents for Geospatial Automation
How AI agents actually automate legacy GIS workflows. Not chatbots. Agents that do the work.
SERIES3 parts
Geospatial on Databricks
Practical guide for teams running geospatial on Databricks. Volumes traps, Jobs API patterns, and critical mistakes to avoid.