Google Cloud
Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro
Google Cloud

Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

This course is part of Serverless Data Processing Dataflow em Português Brasileiro Specialization

Taught in Portuguese (Brazil)

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

Advanced level
Designed for those already in the industry
18 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

Advanced level
Designed for those already in the industry
18 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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 10 modules in this course

Este módulo é uma introdução ao curso e ao conteúdo dele.

What's included

1 video3 readings

Confira os principais conceitos do Apache Beam e como aplicá-los na criação dos seus próprios pipelines de processamento de dados.

What's included

4 videos1 reading1 quiz2 app items

Neste módulo, você aprenderá a processar dados em streaming com o Dataflow. Para fazer isso, você precisa entender três conceitos principais: como agrupar dados em janelas, a importância das marcas d’água para saber quando a janela está pronta para oferecer resultados e como definir quantas vezes a janela emitirá respostas e a frequência desse processo.

What's included

3 videos1 reading1 quiz4 app items

Neste módulo, você aprenderá sobre as origens e os coletores no Google Cloud Dataflow. Mostraremos alguns exemplos de DoFn divisível e de E/S de texto, arquivos, BigQuery, Pub/Sub, Kafka, BigTable e Avro. Além disso, mostraremos alguns recursos úteis associados a cada E/S.

What's included

8 videos1 reading1 quiz

Neste módulo, apresentaremos esquemas que são usados por desenvolvedores para expressar dados estruturados nos pipelines do Beam.

What's included

2 videos1 reading1 quiz2 app items

Neste módulo, falaremos sobre estado e timers, dois recursos avançados que você pode usar na DoFn para implementar transformações com estado.

What's included

3 videos1 reading1 quiz

Neste módulo, falaremos sobre práticas recomendadas e padrões comuns que maximizam o desempenho dos seus pipelines do Dataflow.

What's included

7 videos1 reading1 quiz2 app items

Neste módulo, apresentaremos duas novas APIs que representam sua lógica de negócios no Beam: SQL e DataFrames.

What's included

3 videos1 reading1 quiz4 app items

Este módulo é sobre os notebooks do Beam, uma interface para que os desenvolvedores que usam Python comecem a adotar o SDK da plataforma. Isso pode ser feito para criar pipelines de forma iterativa em um ambiente de notebooks do Jupyter.

What's included

1 video1 reading1 quiz

Este módulo é uma recapitulação do curso.

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,338 Courses2,544,209 learners

Offered by

Google Cloud

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