Nesta especialização on-line intensiva de cinco semanas, os participantes terão uma introdução prática sobre como projetar e criar sistemas de processamento de dados no Google Cloud Platform. Por meio de uma combinação de apresentações, demonstrações e laboratórios práticos, os participantes aprenderão a projetar sistemas de processamento de dados, criar canais completos e análises de dados e desenvolver soluções de aprendizado de máquina. Neste curso, abordamos dados estruturados, não estruturados e de streaming.
Data Engineer, Big Data and ML on Google Cloud em Português Specialization
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Data Engineer, Big Data and ML on Google Cloud em Português Specialization
Engenharia de dados no Google Cloud Platform. Inicie sua carreira em engenharia de dados e valor comercial com Big Data e aprendizado de máquina.
Instructor: Google Cloud Training
1,757 already enrolled
Included with 
Get in-depth knowledge of a subject
4.7
(107 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
4.7
(107 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
- MLOps (Machine Learning Operations)
- Big Data
- Looker (Software)
- Applied Machine Learning
- Data Transformation
- Data Pipelines
- Dataflow
- Data Architecture
- Data Infrastructure
- Cloud Infrastructure
- Data Integration
- Data Processing
- Extract, Transform, Load
- Google Cloud Platform
- Data Warehousing
- Real Time Data
- Unstructured Data
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in Portuguese (Brazil)
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
Diferenciar data lakes de data warehouses.
Conhecer os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud.
Entender o papel de um engenheiro de dados e quais os benefícios de um pipeline de dados funcional para as operações comerciais.
Analisar por que a engenharia de dados deve ser feita em um ambiente na nuvem.
Skills you'll gain
Category: Google Cloud Platform
Category: Data Warehousing
Category: Data Lakes
Category: Cloud Storage
Category: Database Design
Category: Data Processing
Category: SQL
Category: Data Infrastructure
Category: Data Migration
Category: Big Data
Category: Data Pipelines
Category: Data Architecture
What you'll learn
Analisar diferentes métodos de carregamento de dados: EL, ELT e ETL e quando usar cada um deles.
Executar o Hadoop no Dataproc, usar o Cloud Storage e otimizar os jobs do Dataproc.
Usar o Dataflow para criar pipelines de processamento de dados.
Gerenciar pipelines de dados com o Data Fusion e o Cloud Composer.
Skills you'll gain
Category: Data Pipelines
Category: Google Cloud Platform
Category: Dataflow
Category: Apache Spark
Category: Data Transformation
Category: Cloud Storage
Category: Data Integration
Category: Data Processing
Category: Big Data
Category: Extract, Transform, Load
What you'll learn
Interpretar os casos de uso da análise de streaming em tempo real.
Gerenciar eventos de dados usando o serviço de mensagens assíncrono do Pub/Sub.
Criar pipelines de streaming e executar transformações quando necessário.
Interoperar o Dataflow, o BigQuery e o Pub/Sub para fazer streaming e análises em tempo real.
Skills you'll gain
Category: Google Cloud Platform
Category: Dataflow
Category: Performance Tuning
Category: Real Time Data
Category: Data Processing
Category: Data Pipelines
Category: Serverless Computing
Category: Big Data
Category: SQL
Category: Advanced Analytics
Category: Scalability
What you'll learn
Saber a diferença entre ML, IA e aprendizado profundo.
Explicar o uso de APIs de ML em dados não estruturados.
Executar comandos do BigQuery nos Notebooks.
Criar modelos de ML usando a sintaxe do SQL no BigQuery.
Skills you'll gain
Category: Google Cloud Platform
Category: Jupyter
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Unstructured Data
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Cloud API
Category: Applied Machine Learning
Category: Machine Learning
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.
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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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