Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/73989
Título: | Software 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-chave: | Real time information processing Complex Event Processing (CEP) Data visualization Power BI Kafka Spark Tableau |
Data: | 24-Mai-2021 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Applied Sciences |
Citação: | Sousa, 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/73989 |
DOI: | 10.3390/app11114800 |
e-ISSN: | 2076-3417 |
Versão da editora: | https://www.mdpi.com/2076-3417/11/11/4800 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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applsci-11-04800.pdf | 886,25 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons