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Scientific paper - Original scientific paper
Big Data Management Challenges
International journal of advanced trends in computer science and engineering, 9 (2020), 1; 717-723. https://doi.org/10.30534/ijatcse/2020/102912020
Šuman, Sabrina; Poščić, Patrizia; Gligora Marković, Maja

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Šuman, S., Poščić, P. & Gligora Marković, M. (2020). Big Data Management Challenges. International journal of advanced trends in computer science and engineering, 9. (1), 717-723. doi: 10.30534/ijatcse/2020/102912020

Šuman, Sabrina, et al. "Big Data Management Challenges." International journal of advanced trends in computer science and engineering, vol. 9, no. 1, 2020, pp. 717-723. https://doi.org/10.30534/ijatcse/2020/102912020

Šuman, Sabrina, Patrizia Poščić and Maja Gligora Marković. "Big Data Management Challenges." International journal of advanced trends in computer science and engineering 9, no. 1 (2020): 717-723. https://doi.org/10.30534/ijatcse/2020/102912020

Šuman, S., Poščić, P. and Gligora Marković, M. (2020) 'Big Data Management Challenges', International journal of advanced trends in computer science and engineering, 9(1), pp. 717-723. doi: 10.30534/ijatcse/2020/102912020

Šuman S, Poščić P, Gligora Marković M. Big Data Management Challenges. International journal of advanced trends in computer science and engineering [Internet]. 2020 [cited 2024 November 17];9(1):717-723. doi: 10.30534/ijatcse/2020/102912020

S. Šuman, P. Poščić and M. Gligora Marković, "Big Data Management Challenges", International journal of advanced trends in computer science and engineering, vol. 9, no. 1, pp. 717-723, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:555933. [Accessed: 17 November 2024]

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Metadata
Title (english)Big Data Management Challenges
AuthorSabrina Šuman
MBZ: 286002
AuthorPatrizia Poščić
AuthorMaja Gligora Marković
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Medical Informatics)
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract (english)
The emergence of new data types in the big data era implicates the need to analyze and exploit them to gain valuable business insight. Traditional platforms cannot fully meet the analytical needs of the company if support for an unstructured data type is needed. This paper gives an overview and synthesis of areas related to big data technologies, with a series of guidelines for adopting the appropriate software, storage structure, and efficient deployment for big data management. A broad data management context is presented through a conceptual model of business performance management in a modern data management era.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleInternational journal of advanced trends in computer science and engineering
Numberingvol. 9, no. 1, pp. 717-723
e-ISSN2278-3091
DOIhttps://doi.org/10.30534/ijatcse/2020/102912020
URN:NBNurn:nbn:hr:184:555933
Publication2020
Document URLhttp://bib.irb.hr/1052266
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2020-03-11 13:24:23