About this Course
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 4 hours to complete

Suggested: 1 semana de estudio, de 5 a 7 horas por semana...
Available languages

Spanish

Subtitles: Spanish, French, Portuguese (Brazilian), German, English, Japanese...
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 4 hours to complete

Suggested: 1 semana de estudio, de 5 a 7 horas por semana...
Available languages

Spanish

Subtitles: Spanish, French, Portuguese (Brazilian), German, English, Japanese...

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Módulo 1: Introducción a Cloud Dataproc

...
Reading
16 videos (Total 52 min), 2 quizzes
Video16 videos
Presentación de Cloud Dataproc1m
¿Cómo se pueden definir los datos no estructurados?4m
Obtención de valor a partir de datos no estructurados7m
Enfoques de trabajo con macrodatos4m
Orígenes de MapReduce y Hadoop5m
Exceso de sobrecarga con Hadoop local1m
Comparación de Cloud Dataproc y las alternativas de Hadoop2m
Creación de un clúster de Dataproc4m
Personalización de Dataproc3m
Dataproc y la CLIm
Lab 1: Descripción generalm
Lab 1: Demostración y repaso7m
Tipos personalizados de máquinas3m
VM interrumpibles3m
Conclusiónm
Quiz1 practice exercise
Cuestionario del módulo 14m
Hours to complete
3 hours to complete

Módulo 2: Ejecución de trabajos de Dataproc

...
Reading
13 videos (Total 51 min), 3 quizzes
Video13 videos
Métodos de envío de trabajos1m
Lab 2: Descripción general1m
Lab 2: Demostración y repaso11m
Separación del almacenamiento y el procesamiento6m
Evolución del procesamiento de datos5m
La importancia de las herramientas de redes en el procesamiento de datos3m
Separación del almacenamiento y el procesamiento con Spark1m
Envío de trabajos de Spark3m
Descripción general de los conceptos de Spark2m
Descripción general del labm
Lab 3: Demostracion y repaso8m
Conclusión del módulom
Quiz1 practice exercise
Cuestionario del módulo 22m
Hours to complete
3 hours to complete

Módulo 3: Aproveche GCP

...
Reading
10 videos (Total 37 min), 3 quizzes
Video10 videos
Asistencia de BigQuery8m
Lab  4: Descripción generalm
Lab 4: Demostración y repaso4m
Personalización de clústeres4m
Instalación de software en un clúster de Dataproc7m
Lab 5: Descripción generalm
Lab 5: Demostración y repaso8m
Conclusiónm
Repasom
Quiz1 practice exercise
Cuestionario del módulo 32m
Hours to complete
1 hour to complete

Módulo 4: Análisis de datos no estructurados

...
Reading
7 videos (Total 24 min), 2 quizzes
Video7 videos
Análisis detallado del aprendizaje automático3m
Ejemplos de aplicación del AA3m
Análisis detallado de Natural Language Processing2m
Lab 6: Descripción general1m
Lab 6: Demostración y repaso10m
Conclusiónm
Quiz1 practice exercise
Cuestionario del módulo 42m

About Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

More questions? Visit the Learner Help Center.