Entorno experimental de procesamiento de datos distribuidos integrando devops en el ciclo de entrega de software
DOI:
https://doi.org/10.15649/2346030X.3011Palabras clave:
data processing, big data devOps, hadoop, spark, data, cloud, aws, cluster, infrastructure as codeResumen
Sin duda las generaciones de grandes volúmenes de datos de diferentes fuentes han permitido a las organizaciones obtener valor y conocimiento a partir de los datos generados. Por ello, las empresas necesitan a especialistas que sean capaces de digerir esos datos y convertirlos en información útil. Un tema importante es la manera en que los estudiantes pueden adoptar el conocimiento teórico de manera práctica en entornos big data, tecnologías en la nube y herramientas demandadas en el mercado evitando configuraciones extensas.
En este artículo se crea un entorno experimental de big data, describiendo el concepto como tal, sus arquitecturas de referencia y componentes, diseñando e implementando una arquitectura para un clúster de procesamiento de datos distribuido, integrando Devops en un flujo de entrega continua de software; mediante un despliegue automatizado big data procesing de infraestructura como código en la nube.
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