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 SM ISO690:2012IORDAN, Marius. Key concepts and approaches of big data analytics. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, 5-7 aprilie 2023, Chișinău. Chișinău, Republica Moldova: Tehnica-UTM, 2023, Vol.4, pp. 309-313. ISBN 978-9975-45-956-3. |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
| Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor Vol.4, 2023 |
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Conferința "Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor" Chișinău, Moldova, 5-7 aprilie 2023 | ||||||
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| Pag. 309-313 | ||||||
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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. |
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| Cuvinte-cheie Data processing, insights, Datasets, machine learning, algorithm |
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