Investigating the applicability of architectural patterns in big data systems (2018)
- Authors:
- Autor USP: NAKAGAWA, ELISA YUMI - ICMC
- Unidade: ICMC
- Subjects: SISTEMAS DE INFORMAÇÃO; BIG DATA; ARQUITETURA DE SOFTWARE; PADRÕES DE SOFTWARE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: The Hillside Group
- Publisher place: Hillside, Illinois
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: Conference on Pattern Languages of Programs - PLOP
-
ABNT
SENA, Bruno et al. Investigating the applicability of architectural patterns in big data systems. 2018, Anais.. Hillside, Illinois: The Hillside Group, 2018. Disponível em: https://www.hillside.net/plop/2018/papers/33.3.pdf. Acesso em: 08 fev. 2026. -
APA
Sena, B., Garcés, L., Allian, A. P., & Nakagawa, E. Y. (2018). Investigating the applicability of architectural patterns in big data systems. In Proceedings. Hillside, Illinois: The Hillside Group. Recuperado de https://www.hillside.net/plop/2018/papers/33.3.pdf -
NLM
Sena B, Garcés L, Allian AP, Nakagawa EY. Investigating the applicability of architectural patterns in big data systems [Internet]. Proceedings. 2018 ;[citado 2026 fev. 08 ] Available from: https://www.hillside.net/plop/2018/papers/33.3.pdf -
Vancouver
Sena B, Garcés L, Allian AP, Nakagawa EY. Investigating the applicability of architectural patterns in big data systems [Internet]. Proceedings. 2018 ;[citado 2026 fev. 08 ] Available from: https://www.hillside.net/plop/2018/papers/33.3.pdf - A systematic identification of formal and semi-formal languages and techniques for software-intensive systems-of-systems requirements modeling
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