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.
Building Batch Data Pipelines on GCP en Español
Building Batch Data Pipelines on GCP en Español
This course is part of multiple programs.
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
4.6
(44 reviews)
Intermediate level
Some related experience required
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
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
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in Spanish
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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
Instructor ratings
4.8 (11 ratings)Offered by
Recommended if you're interested in Cloud Computing
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Learner reviews
4.6
44 reviews
- 5 stars
70.45%
- 4 stars
25%
- 3 stars
2.27%
- 2 stars
0%
- 1 star
2.27%
Showing 3 of 44
JB
5
Reviewed on Jun 29, 2020
excelente material, buena explicación de conceptos claves para la creación de pipelines, y porque elegir dataflow en vez de datafusion
HB
5
Reviewed on Aug 23, 2021
Excelente curso, muy bien explicado, las parcticas son muy utiles
C
4
Reviewed on Oct 21, 2021
Útil para comprender las herramientas que te da GCP para crear grandes canalizaciones de datos
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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.