Google Cloud
Serverless Data Processing with Dataflow: Operations en Español

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Google Cloud

Serverless Data Processing with Dataflow: Operations en Español

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Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Realizar actividades de supervisión, solución de problemas, pruebas y CI/CD en las canalizaciones de Dataflow.

  • Implementar canalizaciones de Dataflow pensando en la confiabilidad para maximizar la estabilidad de su plataforma de procesamiento de datos.

Details to know

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Assessments

7 assignments

Taught in Spanish

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Build your subject-matter expertise

This course is part of the Serverless Data Processing with Dataflow en Español Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 9 modules in this course

En este módulo, se aborda la descripción del curso.

What's included

2 videos2 readings

En este módulo, aprenderemos a usar la página Lista de trabajos para filtrar los trabajos que deseamos supervisar o investigar. Observaremos cómo las pestañas Gráfico del trabajo, Información del trabajo y Métricas del trabajo brindan en conjunto un resumen completo de su trabajo de Dataflow. Por último, aprenderemos a usar la integración de Dataflow en el Explorador de métricas a fin de crear políticas de alertas para métricas de Dataflow.

What's included

5 videos1 reading1 assignment

En este módulo, aprenderemos a usar el panel Registro ubicado al final de las páginas Grafo de trabajo y Métricas del trabajo, y sobre la página Informes de errores centralizada.

What's included

2 videos1 reading1 assignment

En este módulo, aprenderemos a depurar canalizaciones de Dataflow y solucionar sus problemas. También revisaremos los cuatro modos habituales de fallas de Dataflow: falla en la compilación de canalizaciones, falla en el inicio de la canalización de Dataflow, falla en la ejecución de canalizaciones y problemas de rendimiento.

What's included

2 videos1 reading1 assignment1 app item

En este módulo, analizaremos las consideraciones de rendimiento que se deben tener presentes cuando se desarrollan canalizaciones por lotes y de transmisión en Dataflow.

What's included

4 videos1 reading1 assignment

En este módulo, analizaremos cómo realizar pruebas de unidades de las canalizaciones de Dataflow. También presentaremos los frameworks y las funciones disponibles a fin de optimizar su flujo de trabajo de CI/CD para las canalizaciones de Dataflow.

What's included

5 videos1 reading1 assignment3 app items

En este módulo, analizaremos métodos para compilar sistemas que sean resilientes ante la corrupción de datos y las interrupciones de los centros de datos.

What's included

5 videos1 reading1 assignment

En este módulo, se abordan las plantillas flexibles, una función que ayuda a los equipos de ingeniería a estandarizar y reutilizar el código de las canalizaciones de Dataflow. Muchos desafíos operativos se pueden solucionar con las plantillas flexibles.

What's included

4 videos1 reading1 assignment2 app items

En este módulo, se revisan los temas abordados en el curso.

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,668 Courses2,752,615 learners

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Google Cloud

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