Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/10679
Authors: Fiore, Sandro* 
Palazzo, Cosimo* 
D'Anca, Alessandro* 
Elia, Donatello* 
Londero, Elisa* 
Knapic, Cristina* 
Monna, Stephen* 
Marcucci, Nicola Mario* 
Aguilar, Fernando* 
Płóciennik, Marcin* 
De lucas, Jesús E. Marco* 
Aloisio, Giovanni* 
Title: Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project
Issue Date: 15-May-2017
DOI: 10.1145/3075564.3078884
URI: http://hdl.handle.net/2122/10679
Keywords: big data
indigo
ophidia
analysis
Abstract: In the context of the EU H2020 INDIGO-DataCloud project several use case on large scale scientfic data analysis regarding different research communities have been implemented. All of them require the availability of large amount of data related to either output of imulations or observed data from sensors and need scientic (big) data solutions to run data analysis experiments. More specically,the paper presents the case studies related to the following research communities: (i) the European Multidisciplinary Seaoor and water column Observatory (INGV-EMSO), (ii) the Large Binocular Tele-scope, (iii) LifeWatch, and (iv) the European Network for Earth System Modelling (ENES).
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