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

(71 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

(71 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.

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Taught in Spanish

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  • 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 - 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

Category: Performance Tuning
Category: Data Pipelines
Category: Google Cloud Platform
Category: Data Processing
Category: Data Warehousing
Category: Systems Design
Category: Machine Learning
Category: Data Infrastructure
Category: Scalability
Category: Identity and Access Management
Category: SQL
Category: Data Quality
Category: Data Lakes
Category: Quality Assurance
Category: Cloud Storage
Category: Data Visualization
Category: Role-Based Access Control (RBAC)
Category: Cloud Engineering

Building Batch Data Pipelines on GCP en Español

Course 217 hours4.6 (45 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.

Skills you'll gain

Category: Analytics
Category: Data Pipelines
Category: Performance Tuning
Category: Real Time Data
Category: Google Cloud Platform
Category: Data Processing
Category: Query Languages
Category: Data Storage Technologies
Category: Big Data
Category: Scalability

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

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

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

Category: Data Management
Category: Data Lakes
Category: Business Process
Category: Data Pipelines
Category: Data Security
Category: Google Cloud Platform
Category: Cloud Storage
Category: Data Warehousing
Category: Data Architecture
Category: Data Infrastructure
Category: Scalability
Category: SQL

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: Artificial Intelligence and Machine Learning (AI/ML)
Category: Tensorflow
Category: Data Pipelines
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Google Cloud Platform
Category: Unstructured Data
Category: Big Data
Category: Machine Learning

Instructor

Google Cloud Training
Google Cloud
1,825 Courses3,391,034 learners

Offered by

Google Cloud

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