Las canalizaciones de datos suelen realizarse según uno de los paradigmas extracción y carga (EL); extracción, carga y transformación (ELT), o extracción, transformación y carga (ETL). En este curso, abordaremos qué paradigma se debe utilizar para los datos por lotes y cuándo corresponde usarlo. Además, veremos varias tecnologías de Google Cloud para la transformación de datos, incluidos BigQuery, la ejecución de Spark en Dataproc, grafos de canalización en Cloud Data Fusion y procesamiento de datos sin servidores en Dataflow. Los estudiantes obtienen experiencia práctica en la compilación de componentes de canalizaciones de datos en Google Cloud con Qwiklabs.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Building Batch Data Pipelines on GCP en Español
This course is part of multiple programs.
Instructor: Google Cloud Training
(44 reviews)
What you'll 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.
Compilar tus canalizaciones para el procesamiento de datos con Dataflow.
Administrar canalizaciones de datos con Data Fusion y Cloud Composer.
Details to know
Add to your LinkedIn profile
4 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
En este módulo, presentamos el curso y el temario
What's included
1 video
En este módulo, se revisan los diferentes métodos de carga de datos: EL, ELT y ETL, y cuándo corresponde usarlos
What's included
6 videos1 assignment
En este módulo, se muestra cómo ejecutar Hadoop en Dataproc, usar Cloud Storage y optimizar tus trabajos de Dataproc.
What's included
11 videos1 assignment1 app item
En este módulo, se aborda el uso de Dataflow para compilar tus canalizaciones de procesamiento de datos
What's included
13 videos1 assignment6 app items
En este módulo, se muestra como administrar canalizaciones de datos con Cloud Data Fusion y Cloud Composer
What's included
13 videos1 assignment2 app items
Resumen del curso
What's included
1 video
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Why people choose Coursera for their career
Learner reviews
Showing 3 of 44
44 reviews
- 5 stars
70.45%
- 4 stars
25%
- 3 stars
2.27%
- 2 stars
0%
- 1 star
2.27%
New to Cloud Computing? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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.