Google Cloud
Data Engineer, Big Data and ML on Google Cloud em Português Specialization
Google Cloud

Data Engineer, Big Data and ML on Google Cloud em Português Specialization

Engenharia de dados no Google Cloud Platform. Inicie sua carreira em engenharia de dados e valor comercial com Big Data e aprendizado de máquina.

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Get in-depth knowledge of a subject
4.7

(107 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(107 reviews)

Intermediate level
Some related experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Taught in Portuguese (Brazil)

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Specialization - 5 course series

What you'll learn

  • Reconhecer o ciclo de vida de dados para IA no Google Cloud e os principais produtos de Big Data e machine learning.

  • Analisar Big Data em escala com o BigQuery.

  • Identificar formas de criar soluções de machine learning no Google Cloud.

  • Descrever um fluxo de trabalho de machine learning e as etapas principais com a Vertex AI

What you'll learn

  • Diferenciar data lakes de data warehouses.

  • Conhecer os casos de uso para cada tipo de armazenamento e as soluções de data lake e warehouse disponíveis no Google Cloud.

  • Entender o papel de um engenheiro de dados e quais os benefícios de um pipeline de dados funcional para as operações comerciais.

  • Analisar por que a engenharia de dados deve ser feita em um ambiente na nuvem.

What you'll learn

  • Analisar diferentes métodos de carregamento de dados: EL, ELT e ETL e quando usar cada um deles.

  • 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.

What you'll learn

  • Interpretar os casos de uso da análise de streaming em tempo real.

  • Gerenciar eventos de dados usando o serviço de mensagens assíncrono do Pub/Sub.

  • Criar pipelines de streaming e executar transformações quando necessário.

  • Interoperar o Dataflow, o BigQuery e o Pub/Sub para fazer streaming e análises em tempo real.

What you'll learn

  • Saber a diferença entre ML, IA e aprendizado profundo.

  • Explicar o uso de APIs de ML em dados não estruturados.

  • Executar comandos do BigQuery nos Notebooks.

  • Criar modelos de ML usando a sintaxe do SQL no BigQuery.

Instructor

Google Cloud Training
Google Cloud
1,603 Courses2,699,876 learners

Offered by

Google Cloud

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