REx - NoSQL Redis Schema Extraction Module
Resumo
Este artigo descreve o módulo REx (Redis SchemaExtraction), que permite a geração de esquemas para bancos de dados NoSQL chave-valor, sendo um componente da ferramenta JSON Schema Discovery. REx implementaa primeira etapa (Geração de Esquemas Brutos) do processo de extração de esquemas realizado pela JSON Schema Discovery. A estratégia de extração adotada pelo Rex é inovadora na área de extração de esquemas de dados NoSQL.
Palavras-chave:
Extração Esquema, JSON, Chave-Valor
Referências
Chickerur, S., Goudar, A., and Kinnerkar, A. (2015). Comparison of Relational Database with Document-Oriented Database (MongoDB) for Big Data Applications. In 8th Int. Conf. on Advanced Software Engineering and Its Applications (ASEA), pages 41–47.
Frozza, A. A., Mello, R. d. S., and da Costa, F. d. S. (2018). An Approach for Schema Extraction of JSON and Extended JSON Document Collections. In IEEE International Conference on Information Reuse and Integration (IRI), pages 356–363. IEEE.
Klettke, M., Storl, U., and Scherzinger, S. (2015). Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores. In BTW, volume 241 of LNI.
Lomotey, R. K. and Deters, R. (2014). Towards Knowledge Discovery in Big Data. In 8th IEEE International Symposium on Service Oriented System Engineering, SOSE 2014.
Ruiz, D. S., Morales, S. F., and Molina, J. G. (2015). Inferring Versioned Schemas from NoSQL Databases and its Applications. LNCS, 9381:467–480.
Sadalage, P. J. and Fowler, M. (2013).NoSQL Distilled: a Brief Guide to the Emerging World of Polyglot Persistence. Addison-Wesley, 1st edition.
Scavuzzo, M., Nitto, E. D., and Ceri, S. (2014). Interoperable Data Migration Between NoSQL Columnar Databases. In18th IEEE Int. Enterprise Distributed Object Computing Conference, EDOC, Ulm, Germany, September 1-2, pages 154–162.
T. Bray, E. (2014). The JavaScript Object Notation (JSON) Data Interchange Format-RFC 7159.
Frozza, A. A., Mello, R. d. S., and da Costa, F. d. S. (2018). An Approach for Schema Extraction of JSON and Extended JSON Document Collections. In IEEE International Conference on Information Reuse and Integration (IRI), pages 356–363. IEEE.
Klettke, M., Storl, U., and Scherzinger, S. (2015). Schema Extraction and Structural Outlier Detection for JSON-based NoSQL Data Stores. In BTW, volume 241 of LNI.
Lomotey, R. K. and Deters, R. (2014). Towards Knowledge Discovery in Big Data. In 8th IEEE International Symposium on Service Oriented System Engineering, SOSE 2014.
Ruiz, D. S., Morales, S. F., and Molina, J. G. (2015). Inferring Versioned Schemas from NoSQL Databases and its Applications. LNCS, 9381:467–480.
Sadalage, P. J. and Fowler, M. (2013).NoSQL Distilled: a Brief Guide to the Emerging World of Polyglot Persistence. Addison-Wesley, 1st edition.
Scavuzzo, M., Nitto, E. D., and Ceri, S. (2014). Interoperable Data Migration Between NoSQL Columnar Databases. In18th IEEE Int. Enterprise Distributed Object Computing Conference, EDOC, Ulm, Germany, September 1-2, pages 154–162.
T. Bray, E. (2014). The JavaScript Object Notation (JSON) Data Interchange Format-RFC 7159.
Publicado
10/04/2019
Como Citar
FROZZA, Angelo; SCHREINER, Geomar; MACHADO, Bruno; MELLO, Ronaldo.
REx - NoSQL Redis Schema Extraction Module. In: ESCOLA REGIONAL DE BANCO DE DADOS (ERBD), 15. , 2019, Chapecó.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 81-90.
ISSN 2595-413X.
DOI: https://doi.org/10.5753/erbd.2019.8481.
