ORBiDANSe: Orbital Big Datacube Analytics Service

<p>Datacubes form an accepted cornerstone for analysis (and visualization) ready spatio-temporal data offerings. The increase in user friendliness is achieved by abstracting away from the zillions of files in provider-specific organization. Data&#172;cube query languages additionally establish actionable datacubes enabling users to ask "any query, any time" with zero coding.</p><p>However, typically datacube deployments are aiming at large scale, data center environments accommodating Big Data and massive parallel processing capabilities for achieving decent performance. In this contribution, we conversely report about a downscaling experiment. In the ORBiDANSE project a datacube engine, rasdaman, has been ported to a cubesat, ESA OPS-SAT, and is operational in space. Effectively, the satellite thereby becomes a datacube service offering the standards-based query capabilities of the OGC Web Coverage Processing (WCPS) geo datacube analytics language.<br>We believe this will pave the way for on-board ad-hoc pro-cessing and filtering on Big EO Data, thereby unleashing them to a larger audience and in substantially shorter time.</p><p>In our talk, we report about the concept, technology, and experimental results of ad-hoc on-board datacube query processing.</p><p>&#160;</p>