About this Course

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Coursera Labs
Includes hands on learning projects.
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Intermediate Level
Approx. 16 hours to complete
Portuguese (Brazilian)

What you will learn

  • Analisar diferentes métodos de carregamento de dados: EL, ELT e ETL (e quando cada um deve ser usado)

  • 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

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level
Approx. 16 hours to complete
Portuguese (Brazilian)

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week1
Week 1
1 minute to complete

Introdução

1 minute to complete
1 video (Total 1 min)
Week2
Week 2
23 minutes to complete

Introdução à criação de pipelines de dados em lote

23 minutes to complete
6 videos (Total 21 min)
Week3
Week 3
2 hours to complete

Como executar o Spark no Dataproc

2 hours to complete
11 videos (Total 48 min)
Week4
Week 4
10 hours to complete

Processamento de dados sem servidor com o Dataflow

10 hours to complete
14 videos (Total 36 min)

Reviews

TOP REVIEWS FROM BUILDING BATCH DATA PIPELINES ON GCP EM PORTUGUÊS BRASILEIRO

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About the Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Data Engineer, Big Data and ML on Google Cloud em Português

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