Characterizing big data software architectures: a systematic mapping study (2017)
Source: Proceedings. Conference titles: Brazilian Symposium on Components, Architectures and Reuse Software - SBCARS. Unidade: ICMC
Subjects: ENGENHARIA DE SOFTWARE, SISTEMAS DE INFORMAÇÃO, BIG DATA, ARQUITETURA DE SOFTWARE
ABNT
SENA, Bruno e ALLIAN, Ana Paula e NAKAGAWA, Elisa Yumi. Characterizing big data software architectures: a systematic mapping study. 2017, Anais.. New York, NY: ACM, 2017. Disponível em: https://doi.org/10.1145/3132498.3132510. Acesso em: 30 set. 2024.APA
Sena, B., Allian, A. P., & Nakagawa, E. Y. (2017). Characterizing big data software architectures: a systematic mapping study. In Proceedings. New York, NY: ACM. doi:10.1145/3132498.3132510NLM
Sena B, Allian AP, Nakagawa EY. Characterizing big data software architectures: a systematic mapping study [Internet]. Proceedings. 2017 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1145/3132498.3132510Vancouver
Sena B, Allian AP, Nakagawa EY. Characterizing big data software architectures: a systematic mapping study [Internet]. Proceedings. 2017 ;[citado 2024 set. 30 ] Available from: https://doi.org/10.1145/3132498.3132510