Google Cloud
Serverless Data Processing with Dataflow: Foundations em Português Brasileiro
Google Cloud

Serverless Data Processing with Dataflow: Foundations em Português Brasileiro

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Demonstrar como o Apache Beam e o Cloud Dataflow trabalham juntos para atender às necessidades de processamento de dados de sua organização

  • Resumir os benefícios do Beam Portability Framework e habilitá-lo para seus dutos Dataflow

  • Habilitar o Shuffle & Streaming Engine para pipelines batch & streaming respectivamente para o máximo desempenho

  • Permitir a Programação Flexível de Recursos para um desempenho mais eficiente em termos de custos

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 quizzes

Taught in Portuguese (Brazil)

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Build your subject-matter expertise

This course is part of the Serverless Data Processing Dataflow em Português Brasileiro Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 6 modules in this course

Neste módulo, apresentamos os detalhes do curso, além de um resumo rápido sobre o modelo de programação Apache Beam e o serviço gerenciado do Dataflow do Google.

What's included

3 videos1 reading

Este módulo é dividido em quatro seções: portabilidade do Beam, Runner v2, ambientes de contêiner e transformações entre linguagens.

What's included

4 videos1 quiz

Neste módulo, ensinaremos como separar a programação do armazenamento com o Dataflow. Ele é dividido em quatro seções: Dataflow, serviço do Dataflow Shuffle, Dataflow Streaming Engine e programação flexível de recursos.

What's included

4 videos1 quiz

Neste módulo, veremos os diferentes papeis, cotas e permissões do IAM necessárias para executar o Dataflow.

What's included

2 videos1 quiz

Neste módulo, veremos como implementar o modelo de segurança ideal para seu caso de uso no Dataflow.

What's included

4 videos1 quiz1 app item

Neste curso, começamos com um resumo sobre o que é o Apache Beam e qual é a relação dele com o Dataflow.

What's included

1 video1 reading

Instructor

Google Cloud Training
Google Cloud
1,621 Courses2,708,779 learners

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Google Cloud

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