Alati za analitiku velike količine podataka (big data)

Stihović, Vedran

prikaz prve stranice dokumenta Alati za analitiku velike količine podataka (big data)

Download
PDF 1.7 MB

master's thesis

Alati za analitiku velike količine podataka (big data)

2015. urn:nbn:hr:137:197232

Stihović, Vedran

University of Pula
Faculty of economics and tourism "Dr. Mijo Mirković"

Cite this document

APA 6th Edition

Stihović, V. (2015). Alati za analitiku velike količine podataka (big data) (Master's thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:197232

MLA 8th Edition

Stihović, Vedran. "Alati za analitiku velike količine podataka (big data)." Master's thesis, University of Pula, 2015. https://urn.nsk.hr/urn:nbn:hr:137:197232

Chicago 17th Edition

Stihović, Vedran. "Alati za analitiku velike količine podataka (big data)." Master's thesis, University of Pula, 2015. https://urn.nsk.hr/urn:nbn:hr:137:197232

Harvard

Stihović, V. (2015). 'Alati za analitiku velike količine podataka (big data)', Master's thesis, University of Pula, accessed 08 April 2025, https://urn.nsk.hr/urn:nbn:hr:137:197232

Vancouver

Stihović V. Alati za analitiku velike količine podataka (big data) [Master's thesis]. Pula: University of Pula; 2015 [cited 2025 April 08] Available at: https://urn.nsk.hr/urn:nbn:hr:137:197232

IEEE

V. Stihović, "Alati za analitiku velike količine podataka (big data)", Master's thesis, University of Pula, Pula, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:137:197232

Cite this item: https://urn.nsk.hr/urn:nbn:hr:137:197232

Please login to the repository to save this object to your list.

Metadata

Title	Alati za analitiku velike količine podataka (big data)
Title (english)	Big data analytics tools
Author	Vedran Stihović
Mentor	Vanja Bevanda (mentor)
Committee member	Giorgio Sinković
Committee member	Vanja Bevanda
Committee member	Goran Matošević
Granter	University of Pula (Faculty of economics and tourism "Dr. Mijo Mirković") Pula
Defense date and country	2015-09-09, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Economics Business Informatics
Abstract	Upotrebom analitike velike količine podataka, uz opće performanse kompanije, mogu se poboljšati performanse većine organizacijskih jedinica, uključujući upravljanje i odlučivanje u kompaniji. Velika količina podataka može se analizirati pomoću analitičkih platforma i pripadnih alata, a koje se razlikuju po performansama, zahtjevima i cijeni. Od upotrebe takvih podataka mogu imati koristi mnogi sektori i poslovi, ali i društvo u cjelini. Pametni gradovi logičan su slijed sve rastućeg... More
Abstract (english)	By utilizing big data analytics, companies can increase general performance, performance of organizational units, including management and decision making. Big data can be analyzed with analytics platforms and tools which come bundled with them. They differ in their performances, requirements and prices. Many sectors, businesses and society in general can benefit from utilizing big data. Smart cities are a logical step in growing utilization of big data, and in development of... More
Keywords
Language	croatian
URN:NBN	urn:nbn:hr:137:197232
Study programme	Title: Business Economics; specializations in: Financial Management, Marketing Management, Management and Entrepreneurship, Tourism and Development, Business Informatics Course: Business Informatics Study programme type: university Study level: graduate Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Created on	2016-04-20 08:23:47

closeAccessibilityrefresh

Accessibility