[HAL] BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure

BigDataFr recommends: Large Interactive Visualization of Density Functions on Big Data Infrastructure

Abstract

Point set visualization is required in lots of visualization techniques. Scatter plots as well as geographic heat-maps are straightforward examples. Data analysts are now well trained to use such visualiza- tion techniques. The availability of larger and larger datasets raises the need to make these techniques scale as fast as the data grows. The Big Data Infrastructure offers the possibility to scale horizon- tally. Designing point set visualization methods that fit into that new paradigm is thus a crucial challenge. In this paper, we present a complete architecture which fully fits into the Big Data paradigm and so enables interactive visualization of heatmaps at ultra-scale.[..]

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By Alexandre Perrot1, Romain Bourqui1, Nicolas Hanusse1, Frédéric Lalanne1, David Auber1
Source: hal.archives-ouvertes.fr
1 LaBRI – Laboratoire Bordelais de Recherche en Informatique

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