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Which Data Format To Store Scientific Data Should I Use? A Performance Analysis


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Daniel Gecášek
Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of KošiceKošice, Slovak Republic
Michal Solanik
Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of KošiceKošice, Slovak Republic
Ján Genči
Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of KošiceKošice, Slovak Republic
eISSN:
1338-3957
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informationstechnik, Datanbanken und Data Mining, Technik, Elektrotechnik