Análisis e implementación de soluciones con base de datos NoSQL para el manejo de Big Data, aplicando técnicas de escalabilidad y tolerancia a fallos

Abstract

Nowadays the term Big Data has acquired a special importance, and at present the large volume of information volume requires designing new scalable and fault tolerant infrastructures to ensure high performance and availability. This paper focuses on analyzing and measuring the performance of solutions with databases NoSQL for the management of Big Data and identifying the most relevant characteristics and their benefits. The databases chosen MongoDB, CouchDB and Couchbase support the philosophy of scalability, provide fault tolerance and allow processing data with unstructured formats. It defined the methodological design for performing the implementation and configuration of databases in a distributed system in the infrastructure available of the laboratory of Advanced Technologies of the Web of the Technical University of Loja. A comparison has been realized between the databases across the evaluation of the performance of the system. And finally we presents the conclusive results on the databases and their performance in different scenarios