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Data management in industry
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 2.39 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Data management, particularly in industrial environments, is increasingly vital due to the necessity of handling ever-growing volumes of information, commonly referred to as big data. This survey delves into various papers to comprehend the practices employed within industrial settings concerning data management, by searching for relevant keywords in Q1 Journals related to data management in manufacturing in the databases of WebOfScience, Scopus and IEEE. Additionally, a contextual overview of core concepts and methods related to different aspects of the data management process was conducted. The survey results indicate a deficiency in methodology across implementations of data management, even within the same types of industry or processes. The findings also highlight several key principles essential for constructing an efficient and optimized data management system.
Descrição
Funding Information:
Open access funding provided by FCT|FCCN (b-on). This work was funded in part by Fundação para a Ciência e Tecnologia through the program UIDB/00066/2020 and Center of Technology and Systems (CTS).
Publisher Copyright:
© The Author(s) 2025.
Palavras-chave
Big data Data management Data pipeline Industry Manufacturing Software Industrial and Manufacturing Engineering Artificial Intelligence