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Title:Analiza in primerjava možnosti dostopa do podatkovnih baz v programskih jezikih PHP in Node.js : diplomsko delo
Authors:ID Kozole, Anže (Author)
ID Hölbl, Marko (Mentor) More about this mentor... New window
ID Hrgarek, Luka (Co-mentor)
Files:.pdf UN_Kozole_Anze_2022.pdf (1,18 MB)
MD5: 9D0B76149F79265DB904FBBD7748B352
.zip UN_Kozole_Anze_2022.zip (198,80 KB)
MD5: 7037B928878A5EA6D6724AE5FA946532
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu smo primerjali različne dostope do MySQL in MongoDB Atlas podatkovnih baz z uporabo programskega jezika PHP in Node.js z izdelavo različnih spletnih strani. Predstavljeni so načini delovanja in vrste podatkovnih baz SQL in NoSQL, kot tudi značilnosti PHP in Node.js tehnologije. Po opisu in preučevanju literature smo izmerili in primerjali hitrosti pridobivanja podatkov, primerjali postopek pisanja poizvedb in s tem ugotovili, kateri programski jezik in podatkovna baza se najbolje dopolnjujeta. Po vseh rezultatih smo ugotovili, da je NoSQL primernejše za masivno shranjevanje podatkov, SQL pa za nadzorovano in organizirano shranjevanje podatkov. Prišli smo do zaključka, da je sama izbira podatkovnih baz odvisna od namena spletne strani in kompatibilnosti programskega jezika.
Keywords:SQL, NoSQL, PHP, Node.js
Year of publishing:2022
Place of performance:Maribor
Publisher:[A. Kozole]
Number of pages:1 spletni vir (1 datoteka PDF (X, 42 f.))
PID:20.500.12556/DKUM-81398 New window
COBISS.SI-ID:106644227 New window
Publication date in DKUM:15.04.2022
Categories:KTFMB - FERI
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License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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:16.03.2022

Secondary language

Title:Analysis and comparison of database access in PHP and Node.js programming languages
Abstract:In this diploma thesis we compared MySQL and MongoDB Atlas database accesses using PHP and Node.js programming languages by creating different websites. Working methods of SQL and NoSQL databases, as well as features of PHP and Node.js technologies were presented. After describing and studying the literature we measured and compared the speed of data extraction and compared the procedure of writing queries, so it was possible to figure out which programming language and database best complement each other. The results point out that NoSQL is better suited for massive data storage while SQL is more appropriate for controlled and organized data storage. The conclusion of this diploma thesis is that the choice of database depends on the purpose of the website and the compatibility of the programming language.
Keywords:SQL, NoSQL, PHP, Node.js


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