Key concepts and approaches of Big Data analytics

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