Especialización acelerada en línea de cinco semanas de duración, donde los participantes reciben una introducción práctica en el diseño y compilación de sistemas de procesamiento de datos en Google Cloud Platform. Usando una combinación de presentaciones, demostraciones y labs prácticos, los participantes aprenderán a diseñar sistemas de procesamiento de datos, compilar canalizaciones de datos de extremo a extremo, analizar datos y llevar a efecto funciones de aprendizaje automático. Este curso le enseñará las siguientes habilidades:
Data Engineering, Big Data and ML on Google Cloud en Español Specialization
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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.
Instructor: Google Cloud Training
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Get in-depth knowledge of a subject
(293 reviews)
Intermediate level
Some related experience required
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
(293 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in Spanish
24 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 - 4 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: Google Cloud Platform
Category: Data Warehousing
Category: Data Storage
Category: Cloud Engineering
Category: SQL
Category: Data Management
Category: Data Infrastructure
Category: Cloud Storage
Category: Data Storage Technologies
Category: Data Lakes
Category: Scalability
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: Google Cloud Platform
Category: Data Pipelines
Category: Apache Spark
Category: Apache Hadoop
Category: Data Transformation
Category: Performance Tuning
Category: Extract, Transform, Load
Category: Dataflow
Category: Serverless Computing
Category: Data Processing
Category: Data Integration
Category: Data Migration
Category: Big Data
Category: PySpark
Category: Apache Hive
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: Google Cloud Platform
Category: Dataflow
Category: Data Pipelines
Category: Performance Tuning
Category: Real Time Data
Category: Data Processing
Category: Interactive Data Visualization
Category: Ad Hoc Analysis
Category: Scalability
Category: Analytics
Category: Big Data
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: Google Cloud Platform
Category: Tensorflow
Category: Unstructured Data
Category: MLOps (Machine Learning Operations)
Category: Machine Learning
Category: Data Pipelines
Category: Natural Language Processing
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Big Data
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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