prikaz prve stranice dokumenta Tehnologije velikih skupova podataka
Access restricted to authenticated users
master's thesis
Tehnologije velikih skupova podataka
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:892956
Badrov, Nikolina
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Badrov, N. (2021). Tehnologije velikih skupova podataka (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:892956

Badrov, Nikolina. "Tehnologije velikih skupova podataka." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:892956

Badrov, Nikolina. "Tehnologije velikih skupova podataka." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:892956

Badrov, N. (2021). 'Tehnologije velikih skupova podataka', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 23 September 2024, https://urn.nsk.hr/urn:nbn:hr:179:892956

Badrov N. Tehnologije velikih skupova podataka [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 September 23] Available at: https://urn.nsk.hr/urn:nbn:hr:179:892956

N. Badrov, "Tehnologije velikih skupova podataka", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:892956

Please login to the repository to save this object to your list.
Metadata
TitleTehnologije velikih skupova podataka
Title (english)Big data technologies
AuthorNikolina Badrov
MentorMaja Štula (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-03-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj diplomski rad se bavi velikim skupovima podataka i svime što se veže uz njih. Opisana je povijest, sadašnjost i budućnost velikih skupova podataka, kao i njihova primjena u svakodnevnom životu. Kako bi iskoristili potencijal koji nam pružaju veliki skupovi podataka, moramo ih znati obraditi i analizirati s odgovarajućim tehnologijama za rad. U ovom radu opisane su pojedine tehnologije za rad, a najveća pozornost je dana Apache Hadoopu. Istražuje se njegov nastanak, opisuje arhitektura i način rada te njegove prednosti i mane. U praktičnom dijelu diplomskog rada je prikazano kako se koristiti tehnologijama te je cilj dobiti korisne informacije, koje će nam pomoći da dobijemo bolji uvid u ono što nas zanima. Zadatak je prikupiti statuse s Twittera koji govore o covid-19 virusu te ih analizirati. Za prikupljanje statusa korišten je Apache Flume, za spremanje i obradu podataka Apache Hadoop te Apache Hive za njihovu analizu.
Abstract (english)
This master's thesis deals with big data and everything related to them. The history, present and future of big data are described, as well as their application in everyday life. In order to use the potential provided by big data, we must know how to process and analyze them with appropriate technologies. In this thesis, individual technologies for operation are described and the greatest attention is paid to the Apache Hadoop. Its origin is researched, the architecture and way of working are described, as well as its advantages and disadvantages. The practical part of the thesis shows how to use technologies and aims to obtain useful information, which will help us get a better insight into what we are interested in. The task is to collect tweets from Twitter that talk about the covid-19 virus and analyze them. Apache Flume was used to collect the tweets, Apache Hadoop to store and process the data and Apache Hive to analyze it.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:892956
Study programmeTitle: Computing
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 conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
RepositoryRepository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Created on2021-11-23 08:55:18