NoSQL baze podataka

master's thesis

• Title (english): NoSQL databases
• Author: Antonio Klarić
• Mentor: Vedran Juričić (mentor)
• Committee member: Kristina Kocijan (predsjednik povjerenstva)
• Committee member: Vedran Juričić (član povjerenstva)
• Committee member: Matea Radošević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Humanities and Social Sciences; (Department of information and Communication sciences); Zagreb
• Defense date and country: 2020-09-21, 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: NoSQL baza podataka; sigurnost; agilna metodologija; MongoDB Compass
• Keywords (english): NoSQL database; security; agile metodology; MongoDB Compass
• Language: croatian
• URN:NBN: urn:nbn:hr:131:078263
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2020-09-21 11:52:00