· 6 min read · Go
Building High-Throughput Spatial Pipelines with Go Concurrency
Using goroutines, channels, and context cancellation to process millions of geospatial records in parallel
Go's concurrency primitives are among the most ergonomic in any systems language. This post shows how to put goroutines and channels to work on a real problem: processing large spatial datasets at speed.
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· 6 min read · Rust
Rust's Zero-Cost Abstractions for Geospatial Processing
How Rust's iterator model and trait system let you write elegant code that compiles to bare-metal performance
Zero-cost abstractions are Rust's central promise: you pay nothing at runtime for the high-level constructs you write at the source level. For geospatial data processing—where datasets routinely run to hundreds of millions of coordinate pairs—this matters enormously.
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