En este curso, aprenderĆ”s sobre la ingenierĆa de datos en Google Cloud, los roles y las responsabilidades de los ingenieros de datos y cĆ³mo estos se corresponden con las ofertas de Google Cloud. TambiĆ©n aprenderĆ”s sobre los mĆ©todos para enfrentar los desafĆos de la ingenierĆa de datos.
Introduction to Data Engineering on Google Cloud - EspaƱol
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Introduction to Data Engineering on Google Cloud - EspaƱol
Instructor: Google Cloud Training
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Comprender el rol del ingeniero de datos
Identificar las tareas de ingenierĆa de datos y los componentes centrales que se usan en Google Cloud
Entender cĆ³mo crear e implementar canalizaciones de datos de variados patrones en Google Cloud
Identificar y utilizar varias tĆ©cnicas de automatizaciĆ³n en Google Cloud
Details to know
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Recently updated!
November 2024
Assessments
6 assignments
Taught in Spanish
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There are 8 modules in this course
En esta secciĆ³n, se te da la bienvenida al curso Introduction to Data Engineering on Google Cloud y se presenta una descripciĆ³n general de su estructura y sus objetivos.
What's included
1 video
En este mĆ³dulo, se presenta el rol de un ingeniero de datos. Se abordan conceptos clave, como los de fuentes y receptores de datos, formatos de datos, opciones de almacenamiento en Google Cloud, administraciĆ³n de metadatos y el uso de Analytics Hub para compartir datos dentro y fuera de una organizaciĆ³n.
What's included
9 videos1 assignment1 app item
En este mĆ³dulo, se ofrece una descripciĆ³n general de la replicaciĆ³n y la migraciĆ³n de datos en Google Cloud. Se abordan la arquitectura bĆ”sica, la herramienta de lĆnea de comandos de "gcloud", el Servicio de transferencia de almacenamiento, Transfer Appliance y Datastream, asĆ como sus funciones y casos de uso.
What's included
6 videos1 assignment1 app item
Este mĆ³dulo se enfoca en los procesos de extracciĆ³n y carga de datos en Google Cloud, especĆficamente con BigQuery. Se abordan la arquitectura bĆ”sica de extracciĆ³n y carga, la herramienta de lĆnea de comandos de bq, el Servicio de transferencia de datos de BigQuery y BigLake como una alternativa frente a los patrones tradicionales de extracciĆ³n y carga.
What's included
6 videos1 assignment1 app item
En este mĆ³dulo, se proporciona una descripciĆ³n general de los procesos de ELT (extracciĆ³n, carga y transformaciĆ³n) en Google Cloud. Se abordan la arquitectura bĆ”sica de ELT, un ejemplo de una canalizaciĆ³n de ELT comĆŗn, las funciones de BigQuery para escribir secuencias de comandos y planificar en SQL, y las funciones y casos de uso de Dataform.
What's included
5 videos1 assignment1 app item
En este mĆ³dulo, se proporciona una descripciĆ³n general de los procesos de ETL (extracciĆ³n, transformaciĆ³n y carga) en Google Cloud. Se abordan la arquitectura bĆ”sica de ETL, las herramientas de GUI, las opciones de procesamiento de datos por lotes y de transmisiĆ³n (Dataproc y Dataproc Serverless) y el rol de Bigtable en las canalizaciones de datos.
What's included
8 videos1 assignment2 app items
Este mĆ³dulo se enfoca en los patrones y las opciones de automatizaciĆ³n para canalizaciones en Google Cloud. Se abordan varias herramientas y servicios, como Cloud Scheduler, Workflows, Cloud Composer, Cloud Run Functions, Eventarc y otras funciones y casos de uso de automatizaciĆ³n.
What's included
7 videos1 assignment1 app item
En la secciĆ³n final, revisaremos lo que se presentĆ³ en este curso y conversaremos sobre los prĆ³ximos pasos para continuar tu recorrido de aprendizaje de Cloud.
What's included
1 video1 reading
Instructor
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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.
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