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

Serverless Data Processing with Dataflow: Develop Pipelines 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
18 hours to complete
3 weeks at 6 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
18 hours to complete
3 weeks at 6 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

8 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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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 assignment2 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 assignment4 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 assignment

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

What's included

2 videos1 reading1 assignment2 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 assignment

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

What's included

7 videos1 reading1 assignment2 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 assignment4 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 assignment

Este módulo é uma recapitulação do curso.

What's included

1 video

Instructor

Google Cloud Training
Google Cloud
1,690 Courses2,810,044 learners

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Google Cloud

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