Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

  • 4.7
Approx. 11 hours to complete

Course Summary

Learn how to analyze data using Google Cloud Platform's serverless data analysis tools, BigQuery and Cloud Dataflow. This course will teach you how to build scalable data pipelines and perform data analysis using these powerful tools.

Key Learning Points

  • Learn how to use BigQuery and Cloud Dataflow to build scalable data pipelines
  • Perform data analysis on large datasets using these serverless tools
  • Gain practical experience through hands-on labs and real-world use cases

Job Positions & Salaries of people who have taken this course might have

    • USA: $62,453 - $115,777
    • India: ₹343,349 - ₹1,766,185
    • Spain: €27,000 - €45,000
    • USA: $62,453 - $115,777
    • India: ₹343,349 - ₹1,766,185
    • Spain: €27,000 - €45,000

    • USA: $72,000 - $136,000
    • India: ₹439,000 - ₹2,156,000
    • Spain: €30,000 - €60,000
    • USA: $62,453 - $115,777
    • India: ₹343,349 - ₹1,766,185
    • Spain: €27,000 - €45,000

    • USA: $72,000 - $136,000
    • India: ₹439,000 - ₹2,156,000
    • Spain: €30,000 - €60,000

    • USA: $116,000 - $201,000
    • India: ₹1,245,000 - ₹3,400,000
    • Spain: €43,000 - €90,000

Related Topics for further study


Learning Outcomes

  • Build scalable data pipelines using serverless tools
  • Perform data analysis on large datasets
  • Apply your knowledge to real-world use cases

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of SQL
  • Familiarity with cloud computing concepts

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced
  • Hands-on labs

Similar Courses

  • Data Engineering on Google Cloud Platform
  • Data Analytics on Google Cloud Platform

Related Education Paths


Notable People in This Field

  • Former CEO of Google
  • Senior Vice President of Technical Infrastructure at Google

Related Books

Description

Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals. Por meio de apresentações com instrutores, demonstrações e laboratórios práticos, os alunos aprenderão a executar armazenamento de dados, análise e processamento de pipeline em um ambiente autônomo.

Outline

  • Introdução ao curso Serverless Data Analysis with Google BigQuery and Cloud Dataflow
  • Introdução ao curso
  • Module 1: Análise de dados sem servidor com o BigQuery
  • Introdução à análise de dados sem servidor com o BigQuery
  • O que é o BigQuery?
  • Demonstração do BigQuery
  • Benefícios do BigQuery
  • BigQuery em uma arquitetura de referência
  • Consultas e funções
  • Subconsultas e múltiplas tabelas
  • Laboratório — Análise de dados sem servidor (Java/Python): parte 1
  • Demonstração e recapitulação do laboratório
  • Carregamento e exportação de dados
  • Demonstração e recapitulação do laboratório
  • Recursos avançados no BigQuery
  • Matrizes e estruturas
  • Condição JOIN e funções de janela
  • Funções definidas pelo usuário
  • Demonstração e recapitulação do laboratório
  • Desempenho e preços
  • Tabelas de caracteres curinga e particionamento
  • Planos e categorias do BigQuery
  • Teste do módulo 1
  • Module 2: Escalonamento automático de canais de processamento de dados com o Dataflow
  • Como escalonar automaticamente os canais de processamento de dados
  • Gravar canais de dados em Java e Python
  • Entrada, saída e execução
  • Demonstração e recapitulação do laboratório
  • MapReduce e processamento paralelo
  • Funções GroupBy e Combine
  • Combine x GroupBy
  • Demonstração e recapitulação do laboratório
  • Entradas secundárias
  • Demonstração e recapitulação do laboratório
  • Modelos do Dataflow e Dataprep
  • Recursos
  • Module 2 Quiz

Summary of User Reviews

Learn serverless data analysis with BigQuery and Cloud Dataflow on GCP. Users have praised this course for its practical approach and real-world examples. However, some have experienced technical difficulties and would have liked more advanced content.

Key Aspect Users Liked About This Course

Real-world examples

Pros from User Reviews

  • Practical approach to learning
  • Easy to follow instructions
  • Real-world examples
  • Great for beginners
  • Good introduction to serverless data analysis

Cons from User Reviews

  • Technical difficulties with course material
  • Content is not advanced enough
  • Could use more interactive exercises
  • Does not cover all aspects of serverless data analysis
  • Some users found the pacing too slow
Portuguese (Brazilian)
Available now
Approx. 11 hours to complete
Google Cloud Training
Google Cloud
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Google Cloud Training

  • 4.7 Raiting
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