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master's thesis
Primjena MapReduce algoritma na analizu nizova tekstualnih podataka
Zagreb: University of Zagreb, Faculty of Science, 2014. urn:nbn:hr:217:795312
Volarić, Karolina
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Volarić, K. (2014). Primjena MapReduce algoritma na analizu nizova tekstualnih podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:795312

Volarić, Karolina. "Primjena MapReduce algoritma na analizu nizova tekstualnih podataka." Master's thesis, University of Zagreb, Faculty of Science, 2014. https://urn.nsk.hr/urn:nbn:hr:217:795312

Volarić, Karolina. "Primjena MapReduce algoritma na analizu nizova tekstualnih podataka." Master's thesis, University of Zagreb, Faculty of Science, 2014. https://urn.nsk.hr/urn:nbn:hr:217:795312

Volarić, K. (2014). 'Primjena MapReduce algoritma na analizu nizova tekstualnih podataka', Master's thesis, University of Zagreb, Faculty of Science, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:217:795312

Volarić K. Primjena MapReduce algoritma na analizu nizova tekstualnih podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2014 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:217:795312

K. Volarić, "Primjena MapReduce algoritma na analizu nizova tekstualnih podataka", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:217:795312

Metadata
TitlePrimjena MapReduce algoritma na analizu nizova tekstualnih podataka
AuthorKarolina Volarić
MentorLuka Grubišić (mentor)
Committee memberLuka Grubišić (predsjednik povjerenstva)
Committee memberIvica Nakić (član povjerenstva)
Committee memberVedran Krčadinac (član povjerenstva)
Committee memberDragutin Svrtan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2014-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
U ovom radu je opisan način rada i primjena Apache Hadoop-a i njegovih komponenti. Najvažnija komponenta je MapReduce koja ima sve veću primjenu. Da bismo mogli koristiti MapReduce algoritam potrebno je razumjeti njegov način rada, te naučiti neka pravila za pisanje samog algoritma kao što je korištenje combiner funkcije. Da bi u potpunosti razumjeli koncept Hadoop-a, objašnjeni su pojmovi Flume, Hive, HDFS, te Oozie. Primjena Hadoop-a i MapReduce-a je pokazana na analizi društvene mreže Twitter. Podaci su prikupljani prema određenim uvjetima pomoću Apache Flume-a, zatim su obrađeni s Oozie-em, a upiti nad njima su izvršeni pomoću Hive-a.
Abstract (english)
This thesis describes the operation and use of Apache Hadoop and its components. The most important component is MapReduce. To use MapReduce algorithm it is necessary to understand its mode of operation, and learn some of the rules for writing the algorithm as well as the use of the combiner function. In order to fully understand the concept of Hadoop, the following concepts are explained: Flume, Hive, HDFS and Oozie. Use of Hadoop and MapReduce is shown in the analysis of social network Twitter. Data were collected according to certain conditions using Apache Flume, then they were processed with Oozie-operation and queried using Hive.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:795312
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-02-19 15:03:33