Uso de base de dados não relacional na construção de um sistema de apoio à decisão para gestão do desempenho de alunos no ensino superior
Resumo
Este artigo relata o processo de construção de um sistema de apoio à decisão para a gestão da performance de cursos de graduação em avaliações externas, com base nos resultados do ENADE. Para tanto, criou-se um software online utilizando-se banco de dados não relacional e programação nas linguagens Python, Javascript e HTML. Como resultado, observou-se que a utilização do banco de dados não relacional permitiu o processamento das informações qualitativas, levando a um tratamento efetivo dos dados e facilitando a implementação do aplicativo.
Referências
Bensalloua, C. A., and Benameur, A. (2021) “Towards NoSQL-based Data Warehouse Solution Integrating ECDIS for Maritime Navigation Decision Support System”, Informatica, v. 45, n. 4, p. 415-431.
Bihl, T. J., Young, W. A.; and Weckman, G. R. (2016) “Defining, understanding, and addressing big data", International Journal of Business Analytics (IJBAN), v. 3, n. 2, p. 1-32. Borrero, J. D., and Mariscal, J. (2022) “A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers”, Agriculture, v. 12, n. 6.
Chillón, A. H.; Klettke, M.; Ruiz, D. S.; and Molina, J. G. (2024) “A Generic Schema Evolution Approach for NoSQL and Relational Databases”. IEEE Transactions on Knowledge and Data Engineering, 2024.
Grolinger, K., Higashino, W.A., Tiwari, A., and Capretz, M.A. (2013) “Data management in cloud environments: NoSQL and NewSQL data stores”, Journal of Cloud Computing: Advance System and Applications, v. 2, n.1, p.2-24.
Hecht, R., and Jablonski, S. (2011) “NoSQL Evaluation A Use Case Oriented Survey" 2011 International Conference on Cloud and Service Computing, p. 336-341.
INEP. (2023) “Relatórios Públicos”, Enade Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (inep.gov.br).
Jose, B., and Abraham, S. (2023). Intelligent processing of unstructured textual data in document based NoSQL databases. Materials Today: Proceedings, 80, p. 1777-1785.
Kanungo, S., and Morena, R. D. (2024) “Concurrency versus consistency in NoSQL databases”, Journal of Autonomous Intelligence, v. 7, n. 3.
Khalil, A., and Belaissaoui, M. (2020) “New approach for implementing big datamart using nosql key-value stores", In: 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). IEEE, p. 1-6.
Khan, W., Kumar, T., Zhang, C., and Raj, K. (2023). "SQL and NoSQL database software architecture performance analysis and assessments—A systematic literature review”, Big Data and Cognitive Computing, v. 7, n. 2.
Kimball, R., and Strehlo, , K. (1995), “Why decision support fails and how to fix it", Acm Sigmod Record, v. 24, n. 3, p. 92-97.
Kurpanik, J. (2017) “NoSQL data bases as a data warehouse for decision support systems”, Journal of Science of the Military Academy of Land Forces, v. 49, n. 1 85.
Lee, K., Tang, W., and Choi, K. (2013) “Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage", Computer Methods and Programs in Biomedicine, v. 110, n. 1, p. 99-109.
Lemos, K. C. S., and Miranda, G. J. (2015) “Alto e baixo desempenho no ENADE: que variáveis explicam?”, Revista Ambiente Contábil Universidade Federal do Rio Grande do Norte, v. 7, n. 2, p. 101-118. Llano-Ríos, T. F., Khalefa, M., and Badia, A. (2020) “Evaluating NoSQL systems for decision support: An experimental approach”, In: 2020 IEEE International Conference on Big Data (Big Data), p. 2802-2811.
Manoj V. (2014) “Comparative study of NoSQL document, column store databases and evaluation of Cassandra”, International Journal of Database Management Systems (IJDMS ), v. 6, n. 4.
Ming C., Wu, H. Y. F., and Lee, J. (2015) "Comparisons Between MongoDB and MSSQL Databases on the TWC Website”, American Journal of Software Engineering and Applications, USA, 4(2), 35-41.
Pereira, J. L., Costa, M. (2019) “From NOSQL databases to decision support systems: developing a business intelligence solution”, [link].
Pticek, M. and Vrdoljak, B. (2017) “Big data and new data warehousing approaches,” Proceedings of the 2017 International Conference on Cloud and Big Data Computing, p. 6–10.
Sadalage, P., and Fowler, M. (2013) “NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence”, Pearson Education – Addison Wesley, Boston.
Sauter, V. L. (2014) “Decision support systems for business intelligence”. John Wiley & Sons. Tashkandi, A., Wiese, I., and Wiese, L. (2018) “Efficient in-database patient similarity analysis for personalized medical decision support systems”, Big data research, v. 13, p. 52-64.
Wang, J. (2023) “Decision Support System Model of Education Management Based on Cloud Storage Technology”, In: Application of Big Data, Blockchain, and Internet of Things for Education Informatization: Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I. Cham: Springer Nature Switzerland, p. 385-393.
Wu, M. C., Huang ,Y. F., and Lee, J. (2015) “Comparisons Between MongoDB and MSSQL Databases on the TWC Website”, American Journal of Software Engineering and Applications, v. 4, n. 2, p. 35-41.
Zhu, J., Zhang, H., Xu, Y., and Zhao, W. (2018) “Database Selection Model Based on Fuzzy Comprehensive Evaluation”, In: 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 97-100). IEEE.
Bihl, T. J., Young, W. A.; and Weckman, G. R. (2016) “Defining, understanding, and addressing big data", International Journal of Business Analytics (IJBAN), v. 3, n. 2, p. 1-32. Borrero, J. D., and Mariscal, J. (2022) “A Case Study of a Digital Data Platform for the Agricultural Sector: A Valuable Decision Support System for Small Farmers”, Agriculture, v. 12, n. 6.
Chillón, A. H.; Klettke, M.; Ruiz, D. S.; and Molina, J. G. (2024) “A Generic Schema Evolution Approach for NoSQL and Relational Databases”. IEEE Transactions on Knowledge and Data Engineering, 2024.
Grolinger, K., Higashino, W.A., Tiwari, A., and Capretz, M.A. (2013) “Data management in cloud environments: NoSQL and NewSQL data stores”, Journal of Cloud Computing: Advance System and Applications, v. 2, n.1, p.2-24.
Hecht, R., and Jablonski, S. (2011) “NoSQL Evaluation A Use Case Oriented Survey" 2011 International Conference on Cloud and Service Computing, p. 336-341.
INEP. (2023) “Relatórios Públicos”, Enade Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (inep.gov.br).
Jose, B., and Abraham, S. (2023). Intelligent processing of unstructured textual data in document based NoSQL databases. Materials Today: Proceedings, 80, p. 1777-1785.
Kanungo, S., and Morena, R. D. (2024) “Concurrency versus consistency in NoSQL databases”, Journal of Autonomous Intelligence, v. 7, n. 3.
Khalil, A., and Belaissaoui, M. (2020) “New approach for implementing big datamart using nosql key-value stores", In: 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech). IEEE, p. 1-6.
Khan, W., Kumar, T., Zhang, C., and Raj, K. (2023). "SQL and NoSQL database software architecture performance analysis and assessments—A systematic literature review”, Big Data and Cognitive Computing, v. 7, n. 2.
Kimball, R., and Strehlo, , K. (1995), “Why decision support fails and how to fix it", Acm Sigmod Record, v. 24, n. 3, p. 92-97.
Kurpanik, J. (2017) “NoSQL data bases as a data warehouse for decision support systems”, Journal of Science of the Military Academy of Land Forces, v. 49, n. 1 85.
Lee, K., Tang, W., and Choi, K. (2013) “Alternatives to relational database: Comparison of NoSQL and XML approaches for clinical data storage", Computer Methods and Programs in Biomedicine, v. 110, n. 1, p. 99-109.
Lemos, K. C. S., and Miranda, G. J. (2015) “Alto e baixo desempenho no ENADE: que variáveis explicam?”, Revista Ambiente Contábil Universidade Federal do Rio Grande do Norte, v. 7, n. 2, p. 101-118. Llano-Ríos, T. F., Khalefa, M., and Badia, A. (2020) “Evaluating NoSQL systems for decision support: An experimental approach”, In: 2020 IEEE International Conference on Big Data (Big Data), p. 2802-2811.
Manoj V. (2014) “Comparative study of NoSQL document, column store databases and evaluation of Cassandra”, International Journal of Database Management Systems (IJDMS ), v. 6, n. 4.
Ming C., Wu, H. Y. F., and Lee, J. (2015) "Comparisons Between MongoDB and MSSQL Databases on the TWC Website”, American Journal of Software Engineering and Applications, USA, 4(2), 35-41.
Pereira, J. L., Costa, M. (2019) “From NOSQL databases to decision support systems: developing a business intelligence solution”, [link].
Pticek, M. and Vrdoljak, B. (2017) “Big data and new data warehousing approaches,” Proceedings of the 2017 International Conference on Cloud and Big Data Computing, p. 6–10.
Sadalage, P., and Fowler, M. (2013) “NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence”, Pearson Education – Addison Wesley, Boston.
Sauter, V. L. (2014) “Decision support systems for business intelligence”. John Wiley & Sons. Tashkandi, A., Wiese, I., and Wiese, L. (2018) “Efficient in-database patient similarity analysis for personalized medical decision support systems”, Big data research, v. 13, p. 52-64.
Wang, J. (2023) “Decision Support System Model of Education Management Based on Cloud Storage Technology”, In: Application of Big Data, Blockchain, and Internet of Things for Education Informatization: Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I. Cham: Springer Nature Switzerland, p. 385-393.
Wu, M. C., Huang ,Y. F., and Lee, J. (2015) “Comparisons Between MongoDB and MSSQL Databases on the TWC Website”, American Journal of Software Engineering and Applications, v. 4, n. 2, p. 35-41.
Zhu, J., Zhang, H., Xu, Y., and Zhao, W. (2018) “Database Selection Model Based on Fuzzy Comprehensive Evaluation”, In: 2018 15th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 97-100). IEEE.
Publicado
10/04/2024
Como Citar
VERRUCK, Fábio; GONÇALVES, Roberto Birch.
Uso de base de dados não relacional na construção de um sistema de apoio à decisão para gestão do desempenho de alunos no ensino superior. In: ESCOLA REGIONAL DE BANCO DE DADOS (ERBD), 19. , 2024, Farroupilha/RS.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 31-40.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2024.238859.
