Nesta especializa莽茫o on-line intensiva de cinco semanas, os participantes ter茫o uma introdu莽茫o pr谩tica sobre como projetar e criar sistemas de processamento de dados no Google Cloud Platform. Por meio de uma combina莽茫o de apresenta莽玫es, demonstra莽玫es e laborat贸rios pr谩ticos, os participantes aprender茫o a projetar sistemas de processamento de dados, criar canais completos e an谩lises de dados e desenvolver solu莽玫es de aprendizado de m谩quina. Neste curso, abordamos dados estruturados, n茫o estruturados e de streaming.
Data Engineer, Big Data and ML on Google Cloud em Portugu锚s Specialization
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Data Engineer, Big Data and ML on Google Cloud em Portugu锚s Specialization
Engenharia de dados no Google Cloud Platform. Inicie sua carreira em engenharia de dados e valor comercial com Big Data e aprendizado de m谩quina.
Instructor: Google Cloud Training
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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
Tools you'll learn
What鈥檚 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 solu莽玫es de data lake e warehouse dispon铆veis no Google Cloud.
Entender o papel de um engenheiro de dados e quais os benef铆cios de um pipeline de dados funcional para as opera莽玫es 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 Analysis
Category: Cloud Storage
Category: Data Lakes
Category: Data Infrastructure
Category: Data Pipelines
Category: SQL
Category: Data Architecture
Category: Business Intelligence
Category: Data Processing
Category: Cloud Solutions
Category: Data Transformation
What you'll learn
Analisar diferentes m茅todos 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 Hadoop
Category: Apache Spark
Category: Data Transformation
Category: Serverless Computing
Category: Cloud Storage
Category: Big Data
Category: Data Processing
Category: Extract, Transform, Load
What you'll learn
Interpretar os casos de uso da an谩lise de streaming em tempo real.
Gerenciar eventos de dados usando o servi莽o de mensagens ass铆ncrono do Pub/Sub.
Criar pipelines de streaming e executar transforma莽玫es quando necess谩rio.
Interoperar o Dataflow, o BigQuery e o Pub/Sub para fazer streaming e an谩lises em tempo real.
Skills you'll gain
Category: Google Cloud Platform
Category: Performance Tuning
Category: Data Pipelines
Category: Dataflow
Category: Data Processing
Category: Serverless Computing
Category: Real Time Data
Category: Scalability
Category: SQL
Category: Big Data
Category: Advanced Analytics
What you'll learn
Saber a diferen莽a entre ML, IA e aprendizado profundo.
Explicar o uso de APIs de ML em dados n茫o 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: Predictive Modeling
Category: Jupyter
Category: Unstructured Data
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Machine Learning
Category: Data Pipelines
Category: Natural Language Processing
Category: MLOps (Machine Learning Operations)
Category: Big Data
Category: Tensorflow
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鈥檚 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鈥檛 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鈥檙e automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
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