Um relato da experiência de construir um sistema para integração de dados e criação de indicadores para um programa governamental
Resumo
O governo brasileiro possui diversos programas para melhorar a vida da sociedade brasileira, como o Sistema Único de Saúde (SUS), o Programa Nacional do Livro e do Material Didático (PNLD) e o Programa Universidade Para Todos (PROUNI). Esses programas tem revisões periódicas de regras, o que afeta sistemas computacionais, fazendo com que novos softwares e módulos sejam criados. Com novas aplicações podem surgir novos bancos de dados, fato que dificulta a criação de indicadores sobre os programas governamentais. Para tanto, foi desenvolvido um sistema de integração de dados e criação de indicadores de programas governamentais de código aberto. A experiência deste projeto é relatada nesse artigo. Com esta experiência, novos projetos de grande impacto poderão avaliar se as técnicas relatadas podem ou não ser empregadas nesses novos projetos.
Palavras-chave:
Relato de experiência, Metodologia de desenvolvimento, Painel de indicadores, Ciência de dados
Referências
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L. Rivero, I. Silva, P. Cutrim, A. Paiva, M. Oliveira, E. Alves, G. B. Junior, and D. Dias, “Implementando o gitflow para gerencia de configuração em um projeto de desenvolvimento de software ágil: Um relato de experiência,” Anais do Computer on the Beach, vol. 12, pp. 178–185, 2021.
F. J. Portilho, E. T. G. Grande, K. C. Lima, and L. V. B. C. Leite, “Experience report from an integrated project developing a street food market managing software in iporá,” Research, Society and Development, vol. 10, no. 1, p. e12810111283, Jan. 2021. [Online]. Available: https://rsdjournal.org/index.php/rsd/article/view/11283
S. Chaudhuri and U. Dayal, “An overview of data warehousing and olap technology,” SIGMOD Rec., vol. 26, no. 1, p. 65–74, 03 1997. [Online]. Available: https://doi.org/10.1145/248603.248616
L. Cabibbo and R. Torlone, “A logical approach to multidimensional databases,” in Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998, pp. 183–197. [Online]. Available: https://doi.org/10.1007/bfb0100985
A. Bonifati, F. Cattaneo, S. Ceri, A. Fuggetta, and S. Paraboschi, “Designing data marts for data warehouses,” ACM Transactions on Software Engineering and Methodology, vol. 10, no. 4, pp. 452–483, Oct. 2001. [Online]. Available: https://doi.org/10.1145/384189.384190
I.-Y. Song, Data Mart. Boston, MA: Springer US, 2009, pp. 594–594. [Online]. Available: https://doi.org/10.1007/978-0-387-39940-9883
U. Dayal, M. Castellanos, A. Simitsis, and K. Wilkinson, “Data integration flows for business intelligence,” in Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, ser. EDBT ’09. New York, NY, USA: Association for Computing Machinery, 2009, p. 1–11. [Online]. Available: https://doi.org/10.1145/1516360.1516362
R. Mukherjee and P. Kar, “A comparative review of data warehousing etl tools with new trends and industry insight,” in 2017 IEEE 7th International Advance Computing Conference (IACC), 2017, pp. 943–948.
P. Muryjas, M. Wawer, and M. Rzemieniak, “Managing the process of evaluation of the academic teachers with the use of data mart and business intelligence,” EUROPEAN RESEARCH STUDIES JOURNAL, vol. XXIV, no. Special Issue 2, pp. 127–140, Jun. 2021. [Online]. Available: https://doi.org/10.35808/ersj/2196
W. Villegas-Ch, X. Palacios-Pacheco, and S. Luján-Mora, “A business intelligence framework for analyzing educational data,” Sustainability, vol. 12, no. 14, 2020. [Online]. Available: https://www.mdpi.com/2071-1050/12/14/5745
H. V. Ehrenfried, E. Todt, D. Weingaertner, L. C. E. D. Bona, F. Silva, and M. D. D. Fabro, “Managing open data evolution through bi-dimensional mappings,” in Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019, K. Johnson, J. Spillner, X. Zhao, O. Datskova, and B. Varghese, Eds. ACM, 2019, pp. 159–162. [Online]. Available: https://doi.org/10.1145/3365109.3368774
D. J. Abadi, S. R. Madden, and N. Hachem, “Column-stores vs. rowstores: how different are they really?” in Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008, pp. 967–980.
L. Rivero, I. Silva, P. Cutrim, A. Paiva, M. Oliveira, E. Alves, G. B. Junior, and D. Dias, “Implementando o gitflow para gerencia de configuração em um projeto de desenvolvimento de software ágil: Um relato de experiência,” Anais do Computer on the Beach, vol. 12, pp. 178–185, 2021.
F. J. Portilho, E. T. G. Grande, K. C. Lima, and L. V. B. C. Leite, “Experience report from an integrated project developing a street food market managing software in iporá,” Research, Society and Development, vol. 10, no. 1, p. e12810111283, Jan. 2021. [Online]. Available: https://rsdjournal.org/index.php/rsd/article/view/11283
S. Chaudhuri and U. Dayal, “An overview of data warehousing and olap technology,” SIGMOD Rec., vol. 26, no. 1, p. 65–74, 03 1997. [Online]. Available: https://doi.org/10.1145/248603.248616
L. Cabibbo and R. Torlone, “A logical approach to multidimensional databases,” in Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1998, pp. 183–197. [Online]. Available: https://doi.org/10.1007/bfb0100985
A. Bonifati, F. Cattaneo, S. Ceri, A. Fuggetta, and S. Paraboschi, “Designing data marts for data warehouses,” ACM Transactions on Software Engineering and Methodology, vol. 10, no. 4, pp. 452–483, Oct. 2001. [Online]. Available: https://doi.org/10.1145/384189.384190
I.-Y. Song, Data Mart. Boston, MA: Springer US, 2009, pp. 594–594. [Online]. Available: https://doi.org/10.1007/978-0-387-39940-9883
U. Dayal, M. Castellanos, A. Simitsis, and K. Wilkinson, “Data integration flows for business intelligence,” in Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, ser. EDBT ’09. New York, NY, USA: Association for Computing Machinery, 2009, p. 1–11. [Online]. Available: https://doi.org/10.1145/1516360.1516362
R. Mukherjee and P. Kar, “A comparative review of data warehousing etl tools with new trends and industry insight,” in 2017 IEEE 7th International Advance Computing Conference (IACC), 2017, pp. 943–948.
P. Muryjas, M. Wawer, and M. Rzemieniak, “Managing the process of evaluation of the academic teachers with the use of data mart and business intelligence,” EUROPEAN RESEARCH STUDIES JOURNAL, vol. XXIV, no. Special Issue 2, pp. 127–140, Jun. 2021. [Online]. Available: https://doi.org/10.35808/ersj/2196
W. Villegas-Ch, X. Palacios-Pacheco, and S. Luján-Mora, “A business intelligence framework for analyzing educational data,” Sustainability, vol. 12, no. 14, 2020. [Online]. Available: https://www.mdpi.com/2071-1050/12/14/5745
H. V. Ehrenfried, E. Todt, D. Weingaertner, L. C. E. D. Bona, F. Silva, and M. D. D. Fabro, “Managing open data evolution through bi-dimensional mappings,” in Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2019, Auckland, New Zealand, December 2-5, 2019, K. Johnson, J. Spillner, X. Zhao, O. Datskova, and B. Varghese, Eds. ACM, 2019, pp. 159–162. [Online]. Available: https://doi.org/10.1145/3365109.3368774
D. J. Abadi, S. R. Madden, and N. Hachem, “Column-stores vs. rowstores: how different are they really?” in Proceedings of the 2008 ACM SIGMOD international conference on Management of data, 2008, pp. 967–980.
Publicado
18/10/2023
Como Citar
EHRENFRIED, Henrique Varella et al.
Um relato da experiência de construir um sistema para integração de dados e criação de indicadores para um programa governamental. In: CONGRESSO LATINO-AMERICANO DE SOFTWARE LIVRE E TECNOLOGIAS ABERTAS (LATINOWARE), 20. , 2023, Foz do Iguaçu/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 8-14.
DOI: https://doi.org/10.5753/latinoware.2023.236280.
