Google Cloud
Data Engineering, Big Data and ML on Google Cloud en Español Specialization

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Google Cloud

Data Engineering, Big Data and ML on Google Cloud en Español Specialization

Ingeniería de datos en Google Cloud Platform. Desarrollo profesional en ingeniería de datos utilizando macrodatos y aprendizaje automático.

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Get in-depth knowledge of a subject
4.8

(292 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(292 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

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Taught in Spanish

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Specialization - 5 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

Skills you'll gain

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

Instructor

Google Cloud Training
Google Cloud
1,668 Courses2,752,615 learners

Offered by

Google Cloud

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