Lessons from NASA and Copernicus on building reliable data pipelines

Short summary

NASA's Ziggy framework and space science infrastructure solve some of the hardest data pipeline problems: multi-language orchestration across heterogeneous compute with airtight provenance. Key lessons include separating durable event transport from processing, treating metadata as inseparable from data products, and designing for elastic ingestion. These principles apply directly to enterprise pipelines that fail silently under schema changes, backpressure, and provenance gaps.

• •Separate immutable event transport from processing to survive schema changes and backpressure
• •Treat provenance metadata as part of the data, not a label attached afterward
• •Design for elastic ingestion — satellite downlink windows and constellation passes create structural bursts

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