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

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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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  • Develop a deep understanding of key concepts
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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
1,664 Courses2,750,269 learners

Offered by

Google Cloud

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