| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Vzpostavitev ekosistema Hadoop : diplomsko delo
Authors:ID Cesar, Mitja (Author)
ID Turkanović, Muhamed (Mentor) More about this mentor... New window
ID Šestak, Martina (Comentor)
Files:.pdf VS_Cesar_Mitja_2023.pdf (2,32 MB)
MD5: 783698ACC6776B93B5795E9C8B5DAA95
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V tej diplomski nalogi smo raziskali ogrodje Hadoop, ki s svojimi komponentami tvori celovito rešitev za hranjenje in analiziranje velikih podatkov. V diplomski nalogi najprej predstavimo ogrodje in njegove glavne oziroma najbolj uporabljene komponente, kot so HDFS, MapReduce in YARN. Sledi primer vzpostavitve ogrodja na Linux distribuciji Ubuntu, ter primeri uporabe, ki podajajo smernice za shranjevanje in analiziranje različnih vrst podatkov s Hadoop.
Keywords:Hadoop, vele podatki, porazdeljen datotečni sistem, shranjevanje in analiza podatkov
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[M. Cesar]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 49 f.))
PID:20.500.12556/DKUM-85317 New window
UDC:004.62-022.59(043.2)
COBISS.SI-ID:170898179 New window
Publication date in DKUM:05.10.2023
Views:541
Downloads:52
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.08.2023

Secondary language

Language:English
Title:Establishing the Hadoop ecosystem
Abstract:In this thesis, we explored the Hadoop framework, which with its components forms a comprehensive solution for storing and analyzing big data. In the thesis we first introduced the framework and its main or most commonly used components, such as HDFS, MapReduce, and YARN. This is followed by an example of a set up of the framework on the Ubuntu Linux distribution, and by examples of its use, providing guidelines for storing and analyzing different types of data with Hadoop.
Keywords:Hadoop, Big Data, distributed file system, saving and analyzing data


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica