Um Estudo sobre Arquiteturas e Metadados em Data Lakes
Resumo
A grande quantidade de dados hoje gerada pela Internet e por organizações requer novas abordagens de gerenciamento desses dados. Data lakes são repositórios de dados volumosos e têm sido uma alternativa para gerenciar dados e metadados heterogêneos. Este trabalho apresenta um estudo sobre arquiteturas e abordagens para gerenciamento de metadados no contexto de sistemas de gerência de data lake.Referências
Beheshti, A., Benatallah, B., Nouri, R., and Tabebordbar, A. (2018). CoreKG: A Knowledge Lake Service. Proc. VLDB Endow., 11(12):1942–1945.
Diamantini, C. et al. (2021). An Approach to Extracting Topic-guided Views from the Sources of a Data Lake. Inf. Syst. Frontiers, 23(1):243–262.
Hai, R., Quix, C., and Jarke, M. (2021). Data Lake Concept and Systems: A Survey. CoRR, abs/2106.09592.
Halevy, A. Y. et al. (2016). Goods: Organizing Google’s Datasets. In International Conference on Management of Data, pages 795–806. ACM.
Hashem, I. A. T. et al. (2016). The Role of Big Data in Smart City. Int. J. Inf. Manag., 36(5):748–758.
Nargesian, F. et al. (2019). Data Lake Management: Challenges and Opportunities. Proc. VLDB Endow., 12(12):1986–1989.
Ravat, F. and Zhao, Y. (2019a). Data Lakes: Trends and Perspectives. In Database and Expert Systems Applications,, volume 11706 of LNCS, pages 304–313. Springer.
Ravat, F. and Zhao, Y. (2019b). Metadata Management for Data Lakes. In ADBIS Short Papers and Workshops, volume 1064 of Communications in Computer and Information Science, pages 37–44. Springer.
Sawadogo, P. N., Kibata, T., and Darmont, J. (2019). Metadata Management for Textual Documents in Data Lakes. In International Conference on Enterprise Information Systems, pages 72–83. SciTePress.
Diamantini, C. et al. (2021). An Approach to Extracting Topic-guided Views from the Sources of a Data Lake. Inf. Syst. Frontiers, 23(1):243–262.
Hai, R., Quix, C., and Jarke, M. (2021). Data Lake Concept and Systems: A Survey. CoRR, abs/2106.09592.
Halevy, A. Y. et al. (2016). Goods: Organizing Google’s Datasets. In International Conference on Management of Data, pages 795–806. ACM.
Hashem, I. A. T. et al. (2016). The Role of Big Data in Smart City. Int. J. Inf. Manag., 36(5):748–758.
Nargesian, F. et al. (2019). Data Lake Management: Challenges and Opportunities. Proc. VLDB Endow., 12(12):1986–1989.
Ravat, F. and Zhao, Y. (2019a). Data Lakes: Trends and Perspectives. In Database and Expert Systems Applications,, volume 11706 of LNCS, pages 304–313. Springer.
Ravat, F. and Zhao, Y. (2019b). Metadata Management for Data Lakes. In ADBIS Short Papers and Workshops, volume 1064 of Communications in Computer and Information Science, pages 37–44. Springer.
Sawadogo, P. N., Kibata, T., and Darmont, J. (2019). Metadata Management for Textual Documents in Data Lakes. In International Conference on Enterprise Information Systems, pages 72–83. SciTePress.
Publicado
27/06/2022
Como Citar
RODRIGUES, Jéssica Xafranski; MELLO, Ronaldo dos Santos.
Um Estudo sobre Arquiteturas e Metadados em Data Lakes. In: ESCOLA REGIONAL DE BANCO DE DADOS (ERBD), 17. , 2022, Lages/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 131-134.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2022.223535.
