prikaz prve stranice dokumenta NoSQL baze podataka
  Download
PDF 1.87 MB
master's thesis
NoSQL baze podataka
Zagreb: University of Zagreb, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. urn:nbn:hr:131:078263
Klarić, Antonio
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Klarić, A. (2020). NoSQL baze podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:078263

Klarić, Antonio. "NoSQL baze podataka." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:078263

Klarić, Antonio. "NoSQL baze podataka." Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2020. https://urn.nsk.hr/urn:nbn:hr:131:078263

Klarić, A. (2020). 'NoSQL baze podataka', Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 06 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:078263

Klarić A. NoSQL baze podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2020 [cited 2024 November 06] Available at: https://urn.nsk.hr/urn:nbn:hr:131:078263

A. Klarić, "NoSQL baze podataka", Master's thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:131:078263

Metadata
TitleNoSQL baze podataka
Title (english)NoSQL databases
AuthorAntonio Klarić
MentorVedran Juričić (mentor)
Committee memberKristina Kocijan (predsjednik povjerenstva)
Committee memberVedran Juričić (član povjerenstva)
Committee memberMatea Radošević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2020-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Nerelacijske, NoSQL baze podataka trenutno najbolje odgovaraju rastućim trendovima ICT industrije za skladištenje i administraciju sve veće količine podataka u svijetu. Predstavljaju odmak od tradicionalnih SQL baza podataka zbog svojih mogućnosti lake horizontalne skalabilnosti (hardverski i virtualno), boljih performansi upita te prilagodljivosti arhitekture specifičnim poslovnim potrebama, no s određenim ustupcima po pitanju sigurnosti podataka (popust autorizacije i autentifikacije korisnike). S obzirom na tip podataka koji se pohranjuje, NoSQL baze podataka obično dijelimo na četiri tipa: Ključ-vrijednost baze podataka, Dokument baze podataka (s podjelom na XML i JSON), Stupčane baze podataka i Graf baze podataka. Svaka od njih koristi se u specifičnim ulogama no temelje se na zajedničkim svojstvima teorema CAP i nasljedno BASE, koji im osiguravaju dostupnost podataka i njihovu konzistentnost. U postupku razvoja NOSQL baze podataka za moderne aplikacije i sustave najčešće se koristi agilna metodologija rada, čineći isporuku završenog proizvoda i njegovo održavanje manje kompleksnim. MongoDB je primjer dokument baza podataka s pripadajućim menadžment sustavom za njeno upravljanje, zvanim MongoDB Compass, detaljnije razrađenim u ovom radu.
Abstract (english)
Non-relational NoSQL databases are best fitted for growing trends in ICT industry regarding their needs for warehousing and administration of ever growing data in the world. They represent a certain detachment from the traditional SQL databases in terms of their easy horizontal scalability (both with hardware and virtually), better query performance and architecture adaptability for specific needs, but with certain drawbacks in terms of data security (user authorization and authentication, for example). Regarding the type of data they store, four types of NoSQL databases can be named: Key-Value databases, Document databases (with further distinction for XML and JSON/BSON data types), Column-family databases and Graph databases. Every one of them is used in specific roles, but they have mutual properties in CAP and BASE theorems, which ensure overall availability and consistency of stored data. In development of NoSQL databases for modern applications and systems agile methodology is most often used, making the deployment and maintenance of the finished product less complex. MongoDB is an example of document database with his management system called MongoDB Compass, which is in this thesis explained in more detail.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:078263
Study programmeTitle: Information Sciences; specializations in: Computer Science (Teaching, Research), Informatology, Information Sciences (teaching), Information Sciences (research)
Course: Informatology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informacijskih znanosti (magistar/magistra informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2020-09-21 11:52:00