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Base de Datos NoSQL: MongoDB vs. Cassandra en operaciones CRUD (Create, Read, Update, Delete)
PDF (Spanish)

Keywords

Enseñanza de la matemática
evaluación
evaluación desarrolladora

How to Cite

Castillo, J. N., Garcés, J. R., Navas, M. P., Jácome Segovia, D. F., & Armas Naranjo, J. E. (2017). Base de Datos NoSQL: MongoDB vs. Cassandra en operaciones CRUD (Create, Read, Update, Delete). Revista Publicando, 4(11(1), 79-107. https://revistapublicando.org/revista/index.php/crv/article/view/398

Abstract

En el pasado, se utilizaron bases de datos relacionales debido a su rico conjunto de caracterí­sticas, capacidades de consulta y gestión de transacciones en muchas aplicaciones. Sin embargo, no son capaces de almacenar y procesar datos de gran eficacia y no son muy eficientes para realizar transacciones y unirse a las operaciones. Recientemente, emerge un nuevo paradigma, bases de datos NoSQL, para superar algunos de estos problemas, que son más convenientes para el uso en entornos web. En esta investigación se examinarán las caracterí­sticas esenciales de los sistemas de gestión de base de datos NoSql como son MongoDB y Cassandra. Nos centraremos en las operaciones CRUD (Create, Read, Update, Delete). Para nuestro ejemplo vamos a crear dos bases de datos, para ver cuál de los dos es más eficiente administrando grandes cantidades de datos
PDF (Spanish)

References

Kuznetsov, S. D., & Poskonin, A. V. (2014). NoSQL data management systems. Programming and Computer Software, 40(6), 323-332.

Moniruzzaman, A. B. M., & Hossain, S. A. (2013). Nosql database: New era of databases for big data analytics-classification, characteristics and comparison.arXiv preprint arXiv: 1307.0191.

Zaki, A. K. (2014). NoSQL databases: new millennium database for big data, big users, cloud computing and its security challenges. International Journal of Research in Engineering and Technology (IJRET), 3(15), 403-409.

Bhatewara, A., & Waghmare, K. (2012). Improving network scalability using NoSQL database. Int. J. Adv. Comput. Res. (IJACR), 2(6), 4.

MongoDB for GIANT Ideas. (2016). MongoDB. Retrieved 6 June 2016, from http://www.mongodb.org/

The Apache Cassandra Project. (2016). Cassandra.apache.org. Retrieved 6 June 2016, from http://cassandra.apache.org/

Apache HBase – Apache HBaseâ„¢ Home. (2016). Hbase.apache.org. Retrieved 6 June 2016, from http://hbase.apache.org/

Edward, S. G., & Sabharwal, N. (2015). Introducing MongoDB. In Practical MongoDB (pp. 25-28). Apress.

Dharmasiri, H. M. L., & Goonetillake, M. D. J. S. (2013, December). A federated approach on heterogeneous NoSQL data stores. In Advances in ICT for Emerging Regions (ICTer), 2013 International Conference on (pp. 234-239). IEEE.

Abramova, V., & Bernardino, J. (2013, July). NoSQL databases: MongoDB vs cassandra. In Proceedings of the International C* Conference on Computer Science and Software Engineering (pp. 14-22). ACM.

Truică, C. O., Boicea, A., & Trifan, I. (2013). CRUD Operations in MongoDB. In Proceedings of the 2013 international Conference on Advanced Computer Science and Electronics Information, Ed. Atlantis Press.

Okman, L., Gal-Oz, N., Gonen, Y., Gudes, E., & Abramov, J. (2011, November). Security issues in nosql databases. In 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications (pp. 541-547). IEEE.

Han, J., Haihong, E., Le, G., & Du, J. (2011, October). Survey on NoSQL database. In Pervasive computing and applications (ICPCA), 2011 6th international conference on (pp. 363-366). IEEE.

Chandra, D. G., Prakash, R., & Lamdharia, S. (2012, November). A study on cloud database. In Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on (pp. 513-519). IEEE.

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