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English Information

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Authors
# Name
1 João Pedro Ramalho(jpv.ramalho2013@gmail.com)
2 João Silveira(joaoarmeniosilveira@gmail.com)
3 Thales Gabriel de Lima(tgcl21@inf.ufpr.br)
4 Mateus dos Santos Herbele(mateusherbelecp@gmail.com)
5 Josiney de Souza(josiney.souza@ifc.edu.br)
6 Guilherme Derenievicz(guilherme.dcz@gmail.com)
7 Leticia Peres(lmperes@inf.ufpr.br)
8 Simone Dominico(sdominico@inf.ufpr.br)

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Reference
# Reference
1 Apache Software Foundation (2024). Apache NiFi. https://nifi.apache.org/.Acesso em: 14 jun. 2025
2 Ehrenfried, H. V., Eckelberg, R., Iboshi, H., Todt, E., Weingaertner, D., and Del Fabro, M. D. (2019). Hotmapper: Historical open data table mapper. In EDBT, pages 550–553.
3 Karabtsev, S., Kotov, R., Davzit, I., and Gurov, E. (2023). Building data marts to analyze university faculty activities using power bi. In E3S Web of Conferences, volume 419, page 02014. EDP Sciences.
4 Mbata, A., Sripada, Y., and Zhong, M. (2024). A survey of pipeline tools for data engineering. arXiv preprint arXiv:2406.08335.
5 Schulze, R., Schreiber, T., Yatsishin, I., Dahimene, R., and Milovidov, A. (2024). Clickhouse-lightning fast analytics for everyone. Proceedings of the VLDB Endowment, 17(12):3731–3744.
6 Superset, A. (2024). Apache Superset. https://superset.apache.org/. Acesso em: 5 maio 2025.
7 Van den Burg, G. J., Naz´abal, A., and Sutton, C. (2019). Wrangling messy csv files by detecting row and type patterns. Data Mining and Knowledge Discovery, 33(6):1799–1820.
8 Yamanaka, M., de Almeida, D., de Almeida, P. R., Dominico, S., Peres, L., Sunye, M., and Almeida, E. (2024). Statistical validation of column matching in the database schema evolution of the brazilian public school census. In Anais do XXXIX Simpósio Brasileiro de Bancos de Dados - SBBD, pages 498–509.