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Loading contentSpreading a computation across many loosely-coupled machines so that datasets far too large for one computer can be processed in parallel. Frameworks for distributed data processing let astronomers cross-match billion-row catalogues and reduce survey images across clusters of ordinary servers.
Facts on this topic will be cited from these primary and reference sources.
Mission data, planetary science, space telescopes, and public-domain imagery.
Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.