Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10400.26/51005 |
Resumo: | With the increasing volume, velocity, and variety of data generated by various sources, big data has become a critical challenge for many organizations. Cloud computing provides an efficient and cost-effective solution to address the challenges of big data analysis. In this paper, we review the state-of-the-art cloud computing technologies for big data analysis, including cloud storage, cloud computing platforms, and cloud-based big data analytics tools. We also identify the major challenges and solutions for cloud-based big data Innovation. |
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Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analyticsBig dataCloud computingAnalyticsWith the increasing volume, velocity, and variety of data generated by various sources, big data has become a critical challenge for many organizations. Cloud computing provides an efficient and cost-effective solution to address the challenges of big data analysis. In this paper, we review the state-of-the-art cloud computing technologies for big data analysis, including cloud storage, cloud computing platforms, and cloud-based big data analytics tools. We also identify the major challenges and solutions for cloud-based big data Innovation.Repositório ComumGalego, Nuno Miguel CarvalhoMartinho, DomingosDuarte, Nelson2024-06-07T09:27:14Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/51005eng10.1016/j.procs.2024.05.108info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-05-05T14:37:42Zoai:comum.rcaap.pt:10400.26/51005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T07:02:03.461744Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| title |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| spellingShingle |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics Galego, Nuno Miguel Carvalho Big data Cloud computing Analytics |
| title_short |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| title_full |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| title_fullStr |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| title_full_unstemmed |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| title_sort |
Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics |
| author |
Galego, Nuno Miguel Carvalho |
| author_facet |
Galego, Nuno Miguel Carvalho Martinho, Domingos Duarte, Nelson |
| author_role |
author |
| author2 |
Martinho, Domingos Duarte, Nelson |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Repositório Comum |
| dc.contributor.author.fl_str_mv |
Galego, Nuno Miguel Carvalho Martinho, Domingos Duarte, Nelson |
| dc.subject.por.fl_str_mv |
Big data Cloud computing Analytics |
| topic |
Big data Cloud computing Analytics |
| description |
With the increasing volume, velocity, and variety of data generated by various sources, big data has become a critical challenge for many organizations. Cloud computing provides an efficient and cost-effective solution to address the challenges of big data analysis. In this paper, we review the state-of-the-art cloud computing technologies for big data analysis, including cloud storage, cloud computing platforms, and cloud-based big data analytics tools. We also identify the major challenges and solutions for cloud-based big data Innovation. |
| publishDate |
2024 |
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2024-06-07T09:27:14Z 2024 2024-01-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10400.26/51005 |
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http://hdl.handle.net/10400.26/51005 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
10.1016/j.procs.2024.05.108 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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