Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review
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 pr...
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doaj-8c42ccefad8046308a1ff619f97506642021-06-01T00:54:34ZengMDPI AGApplied Sciences2076-34172021-05-01114800480010.3390/app11114800Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date ReviewRegina Sousa0Rui Miranda1Ailton Moreira2Carlos Alves3Nicolas Lori4José Machado5ALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalALGORITMI Research Center, School of Engineering, Gualtar Campus, University of Minho, 4710-057 Braga, PortugalThe 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.https://www.mdpi.com/2076-3417/11/11/4800real time information processingComplex Event Processing (CEP)data visualizationPower BIKafkaSpark |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Regina Sousa Rui Miranda Ailton Moreira Carlos Alves Nicolas Lori José Machado |
spellingShingle |
Regina Sousa Rui Miranda Ailton Moreira Carlos Alves Nicolas Lori José Machado Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review Applied Sciences real time information processing Complex Event Processing (CEP) data visualization Power BI Kafka Spark |
author_facet |
Regina Sousa Rui Miranda Ailton Moreira Carlos Alves Nicolas Lori José Machado |
author_sort |
Regina Sousa |
title |
Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review |
title_short |
Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review |
title_full |
Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review |
title_fullStr |
Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review |
title_full_unstemmed |
Software Tools for Conducting Real-Time Information Processing and Visualization in Industry: An Up-to-Date Review |
title_sort |
software tools for conducting real-time information processing and visualization in industry: an up-to-date review |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-05-01 |
description |
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. |
topic |
real time information processing Complex Event Processing (CEP) data visualization Power BI Kafka Spark |
url |
https://www.mdpi.com/2076-3417/11/11/4800 |
work_keys_str_mv |
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