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Este módulo incluye la descripción del curso y un breve repaso del modelo de programación de Apache Beam y del servicio administrado de Dataflow de Google.

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En este módulo, estudiaremos cuatro secciones: Portabilidad de Beam, Runner v2, Entornos de contenedores y Transformaciones en varios lenguajes.

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En este módulo, aprenderá a separar el procesamiento y el almacenamiento con Dataflow. Además, en él encontrará cuatro secciones: Dataflow, Servicio Dataflow Shuffle, Dataflow Streaming Engine y Programación flexible de recursos.

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En este módulo, hablaremos sobre los diferentes permisos, cuotas y funciones de IAM que se necesitan para ejecutar Dataflow.

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En este módulo, veremos cómo implementar el modelo de seguridad adecuado en Dataflow según su caso de uso.

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En este curso, haremos un repaso de qué es Apache Beam y cómo se relaciona con Dataflow.

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Serverless Data Processing with Dataflow: Foundations - Español