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master's thesis
Analiza velikih skupova podataka u oblaku računala
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. urn:nbn:hr:200:389839
Krpan, Biljana
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Krpan, B. (2016). Analiza velikih skupova podataka u oblaku računala (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:389839

Krpan, Biljana. "Analiza velikih skupova podataka u oblaku računala." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:389839

Krpan, Biljana. "Analiza velikih skupova podataka u oblaku računala." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:389839

Krpan, B. (2016). 'Analiza velikih skupova podataka u oblaku računala', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:389839

Krpan B. Analiza velikih skupova podataka u oblaku računala [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:200:389839

B. Krpan, "Analiza velikih skupova podataka u oblaku računala", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:389839

Metadata
TitleAnaliza velikih skupova podataka u oblaku računala
Title (english)Big Data Analysis in Cloud Computing.
AuthorBiljana Krpan
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
Committee memberKrešimir Nenadić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2016-05-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
Cilj ovog diplomskog rada bio je istražiti zahtjeve i mogućnosti obrade velikih skupova podataka u oblaku računala, prikazati gdje se veliki podaci koriste te na nekoliko primjera, predstaviti alate Hadoop ekosustava i njihovu primjenu. Pri upotrebi velikih skupova podataka ključna je analiza i pravilna interpretacija. Spajanjem starih i modernih tehnologija izgrađena je potrebna infrastruktura, kojom se može doći do novih, skrivenih informacija koje će pomoći u rješavanju modernih problema. Primjenom Pig, Hive, HCatalog i MS Excel alata na otvorenoj datoteci zapisa s internet stranica, izvršena je analiza i vizualizacija dobivenih podataka. Grafičkim prikazom dobivene su potrebne informacije za daljnju optimizaciju rada zamišljene tvrtke. Veliki podaci mogu se koristiti u svim područjima ljudskog djelovanja te se može zaključiti da će imati jednu od glavnih uloga pri razvoju novih informacijskih sustava u budućnosti.
Abstract (english)
The aim of this diploma thesis was to investigate the requirements and possibilities of processing large data sets in cloud computing; to see where big data is used and on the basis of a few examples, present tools of Hadoop ecosystem and its implementation. It is crucial to have correct analysis and interpretation when using large data sets. For that matter, necessary infrastructure is built combining old and modern technologies, which can lead to new, hidden information that will help solve modern problems. Applying Pig, Hive, HCatalog and MS Excel tools on the downloaded data log files, an analysis and visualization of data was obtained. Graphic presentation gave the necessary information for further optimization of imaginary company. Big Data can be used in all areas of human activity and it can be concluded that it will have a major role in the development of new information systems in the future.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:389839
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-08-03 11:09:47