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Conference papers

An Hierarchical Approach to Big Data

Abstract : The increasing volumes of astronomical data require practical methods for data exploration, access and visualisation. The Hierarchical Progressive Survey (HiPS) is a HEALPix based scheme that enables a multi-resolution approach to astronomy data from the individual pixels up to the whole sky. We highlight the decisions and approaches that have been taken to make this scheme a practical solution for managing large volumes of heterogeneous data. Early implementors of this system have formed a network of HiPS nodes, with some 250 diverse data sets currently available, with multiple mirror implementations for important data sets. This hierarchical approach can be adapted to expose Big Data in different ways. We describe how the ease of implementation, and local customisation of the Aladin Lite embeddable HiPS visualiser have been keys for promoting collaboration on HiPS.
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Contributor : Mark Allen <>
Submitted on : Wednesday, November 18, 2020 - 4:02:51 PM
Last modification on : Wednesday, December 2, 2020 - 3:08:47 PM
Long-term archiving on: : Friday, February 19, 2021 - 6:08:10 PM


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M. G. Allen, P. Fernique, T. Boch, Daniel Durand, A. Oberto, et al.. An Hierarchical Approach to Big Data. Astronomical Data Analysis Software and Systems XXV, Oct 2015, Sydney, Australia. ⟨hal-02387849⟩



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