#41: Compression Is a Performance Dial, Not Just Storage Savings
Most teams default to Snappy compression for GeoParquet and wonder why their egress bills are massive.…
40: Row Groups Determine Query Speed Before You Write the Query
Your GeoParquet performance is fixed the moment you write the file. It’s determined by how you structure…
39: Spatial Predicate Pushdown: Why GeoParquet Reads Less
Most people think cloud-native GIS is fast because of better hardware. It’s actually faster because it…
38: Cloud-Native GIS: Architecture, Not Just Location
Cloud-native GIS isn’t about hosting your servers in AWS. It’s a fundamental shift to designing…
37: The Shift from Cloud-Hosted to Cloud-Native GIS
Cloud-native GIS is not about moving legacy desktop workflows to a virtual machine. It is about re-architecting…
#36: Parquet Isn’t a File Format. It’s Query Optimization Persisted to Disk
Most data engineers don’t understand why Parquet is faster than CSV. The answer: Parquet reads what you…
35: Resolution Is a Budget, Not a File Property
Defaulting to raw resolution because “it’s available” will drain your cloud budget while…
#34: Cloud-Native GIS Isn’t GIS in the Cloud
Moving ArcGIS to an AWS server isn’t cloud-native GIS. It’s just a slower version of desktop GIS.…
#33: Invalid Geometry Breaks Spatial Joins Silently
A spatial join mysteriously matches 80% of features when it should match 100%. The coordinates look fine. The…
#32: ST_Transform Changes Your Coordinate System, Not Your Data Quality
Many people treat ST_Transform as a data cleanup function. It’s not. It recalculates coordinates from one…
