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

Serverless Data Processing with Dataflow: Operations em Português Brasileiro

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Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Realizar monitoramento, solução de problemas, testes e CI/CD em pipelines do Dataflow

  • Implantar pipelines do Dataflow com foco na confiabilidade para maximizar a estabilidade da plataforma de processamento de dados

Details to know

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Assessments

7 assignments

Taught in Portuguese (Brazil)

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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.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 9 modules in this course

Este módulo mostra o resumo do curso

What's included

2 videos2 readings

Neste módulo, aprendemos a usar a página Lista de jobs para filtrar os jobs que queremos monitorar ou investigar. Vimos como as guias Gráfico de job, Informações do job e Métricas do job mostram um resumo abrangente do job do Dataflow. Por fim, aprendemos a usar a integração do Dataflow com o Metrics Explorer e criar políticas de alertas para as métricas do Dataflow.

What's included

5 videos1 reading1 assignment

Neste módulo, aprendemos a usar o painel Registro na parte inferior das páginas Gráfico de job e Métricas do job e mostramos a página centralizada Error Reporting.

What's included

2 videos1 reading1 assignment

Neste módulo, vamos aprender a resolver problemas e depurar pipelines do Dataflow. Também vamos analisar os quatro modos comuns de falha do Dataflow: ao criar o pipeline, ao iniciar o pipeline no Dataflow, durante execução do pipeline e problemas de desempenho.

What's included

2 videos1 reading1 assignment1 app item

Neste módulo, veremos as considerações de desempenho que devemos saber ao desenvolver pipelines em lote e de streaming no Dataflow.

What's included

4 videos1 reading1 assignment

Este módulo vai mostrar o teste de unidade dos pipelines do Dataflow. Também vamos abordar os frameworks e os recursos disponíveis para otimizar o fluxo de trabalho de CI/CD dos pipelines do Dataflow.

What's included

5 videos1 reading1 assignment3 app items

Neste módulo, veremos os métodos para criar sistemas resilientes a dados corrompidos e falhas temporárias do data center.

What's included

5 videos1 reading1 assignment

Este módulo aborda os modelos Flex, um recurso que ajuda as equipes de engenharia de dados a padronizar e reutilizar o código de pipeline do Dataflow. Vários desafios operacionais podem ser resolvidos com esses modelos.

What's included

4 videos1 reading1 assignment2 app items

Este módulo faz uma revisão dos temas abordados no curso.

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,681 Courses2,790,916 learners

Offered by

Google Cloud

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