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

Included with Coursera Plus

Get in-depth knowledge of a subject

(74 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(74 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in Spanish
31 practice exercises

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

Specialization - 5 course series

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.

Skills you'll gain

Google Cloud Platform, Data Storage, Data Warehousing, Data Lakes, Cloud Engineering, Scalability, SQL, Cloud Storage, Data Management, Data Storage Technologies, and Data Infrastructure

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.

Skills you'll gain

Google Cloud Platform, Data Pipelines, Apache Hadoop, Apache Spark, Data Processing, Dataflow, Extract, Transform, Load, Serverless Computing, Performance Tuning, Data Transformation, Data Integration, Apache Hive, Data Migration, Big Data, and PySpark

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

Skills you'll gain

Google Cloud Platform, Performance Tuning, Data Processing, Real Time Data, Data Pipelines, Big Data, Analytics, Business Metrics, Database Design, Query Languages, and Scalability

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

Skills you'll gain

Google Cloud Platform, Machine Learning, Predictive Modeling, Jupyter, Applied Machine Learning, Natural Language Processing, Unstructured Data, MLOps (Machine Learning Operations), Artificial Intelligence, Data Pipelines, and Advanced Analytics

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

Google Cloud Platform, Machine Learning, Data Pipelines, Data Processing, Data Modeling, Systems Design, Data Quality, Data Infrastructure, Business Process, Data Warehousing, Business Process Modeling, Cloud Security, Scalability, Data Management, Performance Tuning, Big Data, and MLOps (Machine Learning Operations)

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Cloud Training
Google Cloud
1,999 Courses3,657,842 learners

Offered by

Google Cloud

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