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Key concepts and approaches of Big Data analytics

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dc.contributor.advisor TINTIUC, Corina
dc.contributor.author IORDAN, Marius
dc.date.accessioned 2023-09-18T08:40:43Z
dc.date.available 2023-09-18T08:40:43Z
dc.date.issued 2023
dc.identifier.citation IORDAN, Marius. Key concepts and approaches of Big Data analytics. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, Universitatea Tehnică a Moldovei, 5-7 aprilie 2023. Chișinău, 2023, vol. 4, pp. 309-313. ISBN 978-9975-45-956-3. ISBN 978-9975-45-960-0 (Vol. 4). en_US
dc.identifier.isbn 978-9975-45-956-3
dc.identifier.isbn 978-9975-45-960-0
dc.identifier.uri http://repository.utm.md/handle/5014/24033
dc.description.abstract The growing volume and complexity of data generated by individuals and businesses have led to the emergence of big data analytics as a vital tool for gaining insights and making better decisions to keep today's data-ruled world intact. This paper aims to explore the key concepts and techniques of big data analytics in information technology and the challenges and opportunities that organizations face when working with large and complex datasets. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject data processing en_US
dc.subject insights en_US
dc.subject datasets en_US
dc.subject machine learning en_US
dc.title Key concepts and approaches of Big Data analytics en_US
dc.type Article en_US


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