About this Course

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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 17 hours to complete
Spanish

What you will learn

  • Revisar los diferentes métodos de carga de datos: EL, ELT y ETL, y cuándo corresponde usarlos

  • Ejecutar Hadoop en Dataproc, usar Cloud Storage y optimizar trabajos de Dataproc

  • Usar Dataflow para compilar sus canalizaciones de procesamiento de datos

  • Administrar canalizaciones de datos con Data Fusion y Cloud Composer

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 17 hours to complete
Spanish

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week1
Week 1
1 minute to complete

Introducción

1 minute to complete
1 video (Total 1 min)
25 minutes to complete

Introducción a Building Batch Data Pipelines

25 minutes to complete
6 videos (Total 21 min)
2 hours to complete

Ejecución de Spark en Dataproc

2 hours to complete
11 videos (Total 48 min)
Week2
Week 2
10 hours to complete

Procesamiento de datos sin servidor con Dataflow

10 hours to complete
14 videos (Total 39 min)
5 hours to complete

Administración de canalizaciones de datos con Cloud Data Fusion y Cloud Composer

5 hours to complete
13 videos (Total 33 min)
3 minutes to complete

Resumen del curso

3 minutes to complete
1 video (Total 3 min)

Reviews

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Frequently Asked Questions

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