About this Course
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Flexible deadlines

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Intermediate Level

Approx. 3 hours to complete

Suggested: 1 semana de estudio, entre 6 y 8 horas semanales...

Spanish

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

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 3 hours to complete

Suggested: 1 semana de estudio, entre 6 y 8 horas semanales...

Spanish

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

Syllabus - What you will learn from this course

Week
1
7 minutes to complete

Le damos la bienvenida a Serverless Data Analysis with Google BigQuery and Cloud Dataflow

...
1 video (Total 7 min)
5 hours to complete

Module 1: Análisis de datos sin servidores con BigQuery

...
19 videos (Total 123 min), 4 quizzes
19 videos
¿Qué es BigQuery?5m
Demostración de BigQuery3m
Beneficios de BigQuery7m
BigQuery en una arquitectura de referencia8m
Consultas y funciones8m
Subconsultas y varias tablas3m
Lab Análisis de datos sin servidores en Java y Python (1.ª parte)2m
Demostración y repaso del lab9m
Carga y exportación de datos2m
Demostración y repaso del lab13m
Funciones avanzadas en BigQuery7m
Matrices y estructuras6m
Condición JOIN y funciones analíticas6m
Funciones definidas por el usuario3m
Demostración y repaso del lab14m
Rendimiento y precios7m
Partición y tablas de comodines7m
Planes y categorías de BigQuery4m
1 practice exercise
Test del módulo 14m
5 hours to complete

Module 2: Ajuste de escala automático de canalizaciones de procesamiento de datos con Dataflow

...
12 videos (Total 97 min), 4 quizzes
12 videos
Escritura de canalizaciones de datos en Java y Python9m
Entrada, salida y ejecución6m
Demostración y repaso del lab18m
Procesamiento en paralelo y MapReduce11m
Combinación y GroupBy7m
Combinación frente a GroupBy7m
Demostración y repaso del lab6m
Datos de entrada adicionales7m
Demostración y repaso del lab10m
Dataprep y plantillas de Dataflow4m
Recursos31s
1 practice exercise
Test del módulo 24m

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.

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