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Title:Analiza zmogljivosti modelov shranjevanja za upravljanje velepodatkov : diplomsko delo
Authors:ID Povše, Žan (Author)
ID Kamišalić Latifić, Aida (Mentor) More about this mentor... New window
ID Gorinšek, Jure (Comentor)
Files:.pdf VS_Povse_Zan_2023.pdf (1,65 MB)
MD5: 68DEB42305BF7F3DE96DDCACC62E4355
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo pregledali vse shranjevalne metode podatkovnih baz. Vsako metodo smo opisali in našteli njihove glavne lastnosti. Na vsaki metodi smo tudi opravili test, ki je vključeval generacijo podatkov, pripravo poizvedovalnih stavkov in uporabo testnega orodja za pridobivanje časov izvajanja. Metode so bile testirane v smislu obvladovanja velepodatkov. Predstavili smo postopek izdelave in generacije podatkov za posamezne metode in njihove teste. Podali smo tudi primerjavo vseh metod in izvajalnih časov, za boljšo predstavo hitrosti.
Keywords:shranjevalne metode, generacija podatkov, testno orodje, velepodatki, izvajalni časi
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[Ž. Povše]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (63 f.))
PID:20.500.12556/DKUM-84909 New window
UDC:004.62(043.2)
COBISS.SI-ID:176938755 New window
Publication date in DKUM:21.09.2023
Views:590
Downloads:48
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:08.08.2023

Secondary language

Language:English
Title:Storage model performance analysis for big data management
Abstract:In the thesis, we reviewed all storage methods of databases. We have described each method and listed their main features. We also performed a test on each method, which included data generation, query statement generation, and the use of the test tool to obtain execution times. The methods were tested in terms of handling big data. We presented the process of creating and generating data for individual methods and their tests. We have also given a comparison of all methods and execution times, for a better idea of the speed.
Keywords:storage methods, data generation, test tool, big data, runtimes


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