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


Cite

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
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Computer Sciences, Information Technology, Databases and Data Mining, Engineering, Electrical Engineering