Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/73989

TítuloSoftware tools for conducting real-time information processing and visualization in industry: an up-to-date review
Autor(es)Sousa, Ana Regina Coelho
Miranda, Rui Pedro Mesquita
Moreira, Ailton
Alves, Carlos Manuel Ferreira
Lori, Nicolas Francisco
Machado, José Manuel
Palavras-chaveReal time information processing
Complex Event Processing (CEP)
Data visualization
Power BI
Kafka
Spark
Tableau
Data24-Mai-2021
EditoraMultidisciplinary Digital Publishing Institute (MDPI)
RevistaApplied Sciences
CitaçãoSousa, R.; Miranda, R.; Moreira, A.; Alves, C.; Lori, N.; Machado, J. Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review. Appl. Sci. 2021, 11, 4800. https://doi.org/10.3390/app11114800
Resumo(s)The processing of information in real-time (through the processing of complex events) has become an essential task for the optimal functioning of manufacturing plants. Only in this way can artificial intelligence, data extraction, and even business intelligence techniques be applied, and the data produced daily be used in a beneficent way, enhancing automation processes and improving service delivery. Therefore, professionals and researchers need a wide range of tools to extract, transform, and load data in real-time efficiently. Additionally, the same tool supports or at least facilitates the visualization of this data intuitively and interactively. The review presented in this document aims to provide an up-to-date review of the various tools available to perform these tasks. Of the selected tools, a brief description of how they work, as well as the advantages and disadvantages of their use, will be presented. Furthermore, a critical analysis of overall operation and performance will be presented. Finally, a hybrid architecture that aims to synergize all tools and technologies is presented and discussed.
TipoArtigo
URIhttps://hdl.handle.net/1822/73989
DOI10.3390/app11114800
e-ISSN2076-3417
Versão da editorahttps://www.mdpi.com/2076-3417/11/11/4800
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:BUM - MDPI

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Este trabalho está licenciado sob uma Licença Creative Commons Creative Commons

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