Usporedba platformi u oblaku namijenjenih pohrani i analizi velikih količina podataka

master's thesis

• Title (english): Comparison of Cloud Platforms Designed for Big Data Storage and Analysis
• Author: Stribor Ladislav Gruičić
• Mentor: Damir Pintar (mentor)
• Committee member: Damir Pintar (član povjerenstva)
• Committee member: Mihaela Vranić (član povjerenstva)
• Committee member: Zoran Skočir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Diplomski rad bavi se usporedbom tehnologija "u oblaku" korištenih za potporu
konkretnoj mobilnoj aplikaciji za Android mobilne uređaje. Nakon uvodnog
poglavlja, razrađeni su koncepti "velikih podataka" i "računarstva u oblaku". Na
kraju, demonstrirana je sama mobilna aplikacija sa svojim slučajevima korištenja i
funkcionalnostima, uz prikaz najrelevantnijih isječaka programskog kôda. Opisano je
i korištenje senzora mobilnog uređaja, a u zaključku rada dan je sažet osvrt na
iskorištene platforme u oblaku.

Abstract (english)

This graduation thesis deals with the comparison of cloud-based technologies used
for back-end support for a specific Android mobile application. Following the
introduction chapter, the concepts of "Big Data" and cloud computing are elaborated.
Lastly, the mobile application itself is demonstrated along with all of its use cases and
functionalities with the preview of the most relevant source code snippets. Usage of
mobile sensors is also described and in the conclusion of the thesis, a brief review of
the used cloud platforms is given.

• Keywords: Veliki podaci; baze podataka; SQL; NoSQL; računarstvo u oblaku; Firebase; Heroku; Amazon Web Services; mobilna aplikacija; operativni sustav Android; senzorski podaci
• Keywords (english): Big Data; databases; SQL; NoSQL; cloud computing; Firebase; Heroku; Amazon Web Services; mobile application; Android operative system; sensory data
• Language: croatian
• URN:NBN: urn:nbn:hr:168:087650
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 20:41:24