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master's thesis
Migracija s relacijske na hibridnu bazu podataka
2017. urn:nbn:hr:168:527541
Novokmet, Ante
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Novokmet, A. (2017). Migracija s relacijske na hibridnu bazu podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:527541

Novokmet, Ante. "Migracija s relacijske na hibridnu bazu podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:527541

Novokmet, Ante. "Migracija s relacijske na hibridnu bazu podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:527541

Novokmet, A. (2017). 'Migracija s relacijske na hibridnu bazu podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:527541

Novokmet A. Migracija s relacijske na hibridnu bazu podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 April 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:527541

A. Novokmet, "Migracija s relacijske na hibridnu bazu podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:527541

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Metadata
TitleMigracija s relacijske na hibridnu bazu podataka
Title (english)Migration from relational to hybrid database
AuthorAnte Novokmet
MentorKrešimir Fertalj (mentor)
Committee memberKrešimir Fertalj (predsjednik povjerenstva)
Committee memberNikica Hlupić (član povjerenstva)
Committee memberBoris Milašinović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Većina informacijskih sustava koristi relacijske baze podataka. Osim takvih postoje i baze podataka utemeljene na dokumentima, koje imaju prednosti poput učahurivanja podataka, podršku velikoj količini podataka, skalabilnost, ali i nedostatke, poput nepostojanja transakcija. U radu je osmišljen način restrukturiranja informacijskog sustava da on koristi SQL Server i MongoDB bazu podataka, te način migracije podataka s jednog sustava na drugi, kako bi se iskoristile prednosti oba tipa.
Abstract (english)
Many information systems today use relational databases. There are also non-relational document-based databases. They have advantages such as embedding data, big dana support and scalability, but also disadvantages, for example the absence of transactions. This thesis explores a way to restructure a relational database system in a way it would use both SQL Server and a MongoDB database, and a way to migrate data, so advantages of both systems could be exploited.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:527541
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 conditionsClosed access
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Created on2019-03-13 23:26:57