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master's thesis
Usporedba SQL i NoSQL baza podataka
2023. urn:nbn:hr:187:773580
Batur, Branimir
University of Rijeka
Faculty of Maritime Studies, Rijeka
Department of Logistics and Management

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Batur, B. (2023). Usporedba SQL i NoSQL baza podataka (Master's thesis). Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka. Retrieved from https://urn.nsk.hr/urn:nbn:hr:187:773580

Batur, Branimir. "Usporedba SQL i NoSQL baza podataka." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:187:773580

Batur, Branimir. "Usporedba SQL i NoSQL baza podataka." Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, 2023. https://urn.nsk.hr/urn:nbn:hr:187:773580

Batur, B. (2023). 'Usporedba SQL i NoSQL baza podataka', Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, accessed 03 May 2024, https://urn.nsk.hr/urn:nbn:hr:187:773580

Batur B. Usporedba SQL i NoSQL baza podataka [Master's thesis]. Rijeka: University of Rijeka, Faculty of Maritime Studies, Rijeka; 2023 [cited 2024 May 03] Available at: https://urn.nsk.hr/urn:nbn:hr:187:773580

B. Batur, "Usporedba SQL i NoSQL baza podataka", Master's thesis, University of Rijeka, Faculty of Maritime Studies, Rijeka, Rijeka, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:187:773580

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Metadata
TitleUsporedba SQL i NoSQL baza podataka
Title (english)Comparison of SQL and NoSQL databases
AuthorBranimir Batur
MentorDario Ogrizović (mentor)
MentorIvan Lorencin (mentor)
Committee memberEdvard Tijan (predsjednik povjerenstva)
Committee memberDražen Žgaljić (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
(Department of Logistics and Management)
Rijeka
Defense date and country2023-10-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Usporedba SQL i NoSQL baza podataka otkriva jedinstvene kvalitete, prednosti i nedostatke ovih tipova baze podataka. SQL baze podataka idealne su za aplikacije koje zahtijevaju integritet podataka i jasno definirane sheme jer su izvrsne u upravljanju strukturiranim podacima, kompliciranim odnosima i visokoj dosljednosti. NoSQL baze podataka najbolji su izbor za obradu velikih podataka, platforme društvenih medija te suvremene web i mobilne aplikacije jer pružaju fleksibilnost, skalabilnost i agilnost u upravljanju nestrukturiranim podacima. U ovome radu pokušati će se približiti na koji način odabrati najbolji alat prema zahtjevima aplikacije, prirodi podataka i željenoj razini skalabilnosti.
Abstract (english)
A comparison of SQL and NoSQL databases reveals the unique qualities, advantages, and disadvantages of these database types. SQL databases are ideal for applications that require data integrity and clearly defined schemas because they excel at managing structured data, complicated relationships, and high consistency. NoSQL databases are the best choice for big data processing, social media platforms, and modern web and mobile applications because they provide flexibility, scalability, and agility in managing unstructured data. This paper will try to approach how to choose the best tool according to the requirements of the application, the nature of the data and the desired level of scalability.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:187:773580
Study programmeTitle: Logistics and Management in Maritime Industry and Transport
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu (magistar/magistra inženjer/inženjerka logistike i menadžmenta u pomorstvu)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-09-20 13:16:10