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undergraduate thesis
Autonomne baze podataka
2023. urn:nbn:hr:143:926644
Lucić, Martina
Šibenik University of Applied Sciences

Cite this document

Lucić, M. (2023). Autonomne baze podataka (Undergraduate thesis). Šibenik: Šibenik University of Applied Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:143:926644

Lucić, Martina. "Autonomne baze podataka." Undergraduate thesis, Šibenik University of Applied Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:143:926644

Lucić, Martina. "Autonomne baze podataka." Undergraduate thesis, Šibenik University of Applied Sciences, 2023. https://urn.nsk.hr/urn:nbn:hr:143:926644

Lucić, M. (2023). 'Autonomne baze podataka', Undergraduate thesis, Šibenik University of Applied Sciences, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:143:926644

Lucić M. Autonomne baze podataka [Undergraduate thesis]. Šibenik: Šibenik University of Applied Sciences; 2023 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:143:926644

M. Lucić, "Autonomne baze podataka", Undergraduate thesis, Šibenik University of Applied Sciences, Šibenik, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:143:926644

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Metadata
TitleAutonomne baze podataka
Title (english)AUTONOMOUS DATABASES
AuthorMartina Lucić
MentorIvan Livaja (mentor)
Committee memberMilan Hrga (predsjednik povjerenstva)
Committee memberMarko Pavelić (član povjerenstva)
Committee memberIvan Livaja (član povjerenstva)
GranterŠibenik University of Applied Sciences
Šibenik
Defense date and country2023-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information and Software Engineering
Abstract
Autonomne baze podataka predstavljaju važan napredak u načinu na koji se upravlja podatcima. Tijekom upravljanja podatcima koriste visoki stupanj autonomije čime omogućuju značajno smanjenje potrebe za ručnim intervencijama te upotrebljavaju tehnologije kao što je umjetna inteligencija i strojno učenje. Autonomne baze sadrže mogućnosti samoupravljanja, samozaštite, samostalnog oporavka te samostalnog skaliranja što omogućuje povećanu učinkovitost tijekom korištenja.
Abstract (english)
Autonomous databases represent an important advance in the way data is managed. During data management, they use a high degree of autonomy, which enables a significant reduction in the need for manual interventions, and they use technologies such as artificial intelligence and machine learning. Autonomous databases contain self-management, self-protection, self-recovery and self-scaling capabilities, which enables increased efficiency during use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:143:926644
Study programmeTitle: Professional undergraduate study of Bussines Informatics
Study programme type: professional
Study level: undergraduate
Academic / professional title: stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike (stručni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) poslovne informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2023-10-03 11:20:50