Trabalho de Conclusão de Curso - TCC

URI Permanente para esta coleçãohttps://repositorio.cesupa.br/handle/prefix/32

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Navegando Trabalho de Conclusão de Curso - TCC por Assunto "Acessibilidade"

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    Comparação de práticas e ferramentas de integração de dados utilizando o banco de dados amostral adventureworks
    (Centro Universitário do Estado do Pará, 2023-12-15) Bessa, Arthur Ferreira; Santos, Pedro Bezerra dos; Elgrably, Isaac Souza; http://lattes.cnpq.br/7590598824563858; Girotto, Pedro Henrique Sales; http://lattes.cnpq.br/0421749067951878; Araújo, Fábio Rocha de; http://lattes.cnpq.br/2407240421934932
    In the “Information Era”, companies deal with vast volumes of data. Information overload hampers decision-making. Digital transformation is pivotal, involving data integration through data pipelines. These processes convert raw data into actionable insights for business analysis. This study aims to compare the performance of different pipelines, ETL and ELT, analyzing data transformation time to ensure availability and decision-making efficiency. The comparison between ELT and ETL shows the significance of each method's specific application. In this study using AdventureWorks, ETL outperformed by transforming data before loading, unlike ELT. The difference between code usage and tools like Pentaho highlights a trade-off between performance and accessibility. Choosing between ELT and ETL should account for project needs, while future studies may deepen the understanding of these processes.
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    O uso de assistentes virtuais inteligentes no atendimento hospitalar
    (Centro Universitário do Estado do Pará, 2023) Vidal, Camilo Ribeiro; Pereira, Ramon Algaranhar; Chaves, Raphael Magalhães; Moraes, Wellington Samuel R.; Elgrably, Isaac Souza; http://lattes.cnpq.br/7590598824563858; Patrício, Júlio Cezar dos Santos; http://lattes.cnpq.br/1799014841946544; Gomes, Vitor Hugo Freitas; http://lattes.cnpq.br/5218954387107307
    The employment of Intelligent Virtual Assistants (IVAs) has shown accelerated growth in the last decade, demonstrating applications on various scales. This technology spans various areas of society, providing usability and flexibility to users. The use of this technology in the hospital environment stands out. Scheduling medical appointments is often a cumbersome and timeconsuming process, resulting in dissatisfaction for patients. In this context, the present study explores the possibility of addressing the challenges of hospital care through the implementation of Intelligent Virtual Assistants. The method employed to achieve these objectives involves a systematic review conducted through an investigation into the applicability of an artificial intelligence solution. As a result, this article presents other studies demonstrating the development of IVAs in the hospital context, also outlining future prospects for the continued study of IVAs. Finally, the contributions of this work aim to provide insights into future directions for advancing the state of the art and propose recommendations for the visual construction of a non-functional prototype.