Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español Specialization
Google Cloud

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate en Español Specialization

Avanza tu carrera en ingeniería de datos

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Get in-depth knowledge of a subject
4.7

(69 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(69 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Adquirirá las habilidades necesarias para tener éxito en un puesto de ingeniero de datos.

    Se preparará para obtener la certificación Professional Data Engineer.

    Aprenderá sobre los servicios de la plataforma y la infraestructura que ofrece Google Cloud Platform.

Details to know

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Taught in Spanish

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Google Cloud
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Specialization - 6 course series

What you'll learn

  • Identificar el ciclo de vida de datos a IA en Google Cloud y los productos principales de macrodatos y aprendizaje automático

  • Diseñar canalizaciones de transmisión con Dataflow y Pub/Sub

  • Analizar macrodatos a gran escala con BigQuery

  • Identificar diferentes opciones para crear soluciones de aprendizaje automático en Google Cloud

What you'll learn

  • Distinguir entre data lakes y almacenes de datos.

  • Explorar los casos de uso de cada tipo de almacenamiento y las soluciones de data lakes y almacenes de datos disponibles en Google Cloud.

  • Analizar el rol del ingeniero de datos y los beneficios de las canalizaciones de datos exitosas para las operaciones comerciales.

  • Examinar por qué la ingeniería de datos se debe realizar en un entorno de nube.

Building Batch Data Pipelines on GCP en Español

Course 317 hours4.6 (44 ratings)

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.

What you'll learn

  • Interpretar casos de uso para el análisis de transmisiones en tiempo real

  • Administrar eventos de datos con el servicio de mensajería asíncrono de Pub/Sub

  • Escribir canalizaciones de transmisión y ejecutar transformaciones cuando sea necesario

  • Interoperar Dataflow, BigQuery y Pub/Sub para la transmisión y el análisis en tiempo real

What you'll learn

  • Distinguir entre AA, IA y aprendizaje profundo

  • Analizar el uso de las APIs de AA en datos no estructurados

  • Ejecutar comandos de BigQuery desde notebooks

  • Crear modelos de AA con la sintaxis de SQL en BigQuery

What you'll learn

  • Review each section of the exam using highest-level concepts to identify what is already known and surface gap areas for study.

  • Practice case study analysis and solution proposal methods and thinking skills.

  • Learn information, tips, and general advice about how to prepare for the exam.

  • Integrate prior technical skills into practical skills for the job role. Help you become a Data Engineer.

Skills you'll gain

Category: Big Data
Category: Bigquery
Category: Machine Learning
Category: Google Cloud Platform

Instructor

Google Cloud Training
Google Cloud
1,675 Courses2,781,227 learners

Offered by

Google Cloud

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