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UL HPC Tutorial: Big Data Applications (batch, stream, hybrid) with Hadoop and Spark
VARRETTE, Sébastien; PLUGARU, Valentin; DIEHL, Sarah et al.
2018
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https://hdl.handle.net/10993/36455
 

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Keywords :
HPC; Big data; Spark
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Computer science
Author, co-author :
VARRETTE, Sébastien ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
PLUGARU, Valentin ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
DIEHL, Sarah ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
PARISOT, Clément ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
CARTIAUX, Hyacinthe ;  University of Luxembourg > Central Administration > IT Department
BOUVRY, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Language :
English
Title :
UL HPC Tutorial: Big Data Applications (batch, stream, hybrid) with Hadoop and Spark
Publication date :
June 2018
Event name :
7th High Performance Computing School, University of Luxembourg
Event organizer :
University of Luxembourg
Event place :
Luxembourg
Event date :
June 12-13, 2018
Audience :
International
Additional URL :
https://ulhpc-tutorials.readthedocs.io/en/latest/bigdata/
Commentary :
Initial version in 2017.
Available on ORBilu :
since 28 August 2018

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