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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 | 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). |
| Appears in Collections: | Conference materials |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| bigdata.pdf | Only abstract page | 95.15 kB | Adobe PDF | View/Open |
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