Architecting Petabyte-Scale Hyperspectral Pipelines on AWS (opens in new tab)

The Data Challenge Every industry has its version of the same data engineering problem: massive, complex payloads generated at the edge — far from the cloud, often on unreliable networks — that need to become queryable, structured datasets as fast as possible. In genomics, it is multi-gigabyte sequencing files produced by instruments in labs. In it is LiDAR and camera telemetry streaming off test fleets. The underlying architectural challenge is the same in every case: ingest heavy data at bu...