About this Course

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.
Intermediate Level
Approx. 17 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.
Intermediate Level
Approx. 17 hours to complete
Portuguese (Brazilian)

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Week
1
Week 1
1 minute to complete

Introdução

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

Introdução à criação de pipelines de dados em lote

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

Como executar o Spark no Dataproc

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