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
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
Included with 
Get in-depth knowledge of a subject
(108 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
(108 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 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
Google Cloud Platform, Data Warehousing, Data Analysis, Cloud Storage, Data Lakes, Data Pipelines, Data Processing, Business Intelligence, Cloud Solutions, Data Architecture, SQL, Data Infrastructure, and Data Transformation
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
Data Pipelines, Google Cloud Platform, Dataflow, Apache Spark, Apache Hadoop, Cloud Storage, Data Transformation, Serverless Computing, Extract, Transform, Load, Big Data, Data Processing, and Data Integration
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
Google Cloud Platform, Performance Tuning, Data Processing, Data Pipelines, Dataflow, Real Time Data, Serverless Computing, Advanced Analytics, Big Data, Scalability, and SQL
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
Google Cloud Platform, Unstructured Data, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Cloud API, Data Pipelines, Computer Vision, Tensorflow, and 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.
Instructor
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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.
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.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,