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NEXUS is an emerging data-intensive analysis framework developed with a new approach for handling science data that enables large-scale data analysis. It takes on a different approach in handling array-based observational temporal, geospatial artifacts by fully leveraging the elasticity of Cloud Computing environment. Rather than performing on-the-fly file I/Os, NEXUS stores tiled data in Cloud-scaled databases with high-performance spatial lookup service. NEXUS is also packaged with a suite of science data analytic web services that are developed using Apache Spark.
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Set facet.limit to -1 to return all facets and not cap at 100.
f25a89eView on GitHubRemoved threadpool-based async handling and using Torndado's built in subprocesses
6a260ffView on GitHubMerge branch 'master' of https://github.com/dataplumber/nexus
419cc5fView on GitHub