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 |
The following license files are associated with this item: