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Aprendendo PySpark: Passo a Passo

Aprendendo PySpark: Passo a Passo

          
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About the Book

Aprendendo PySpark é uma jornada abrangente através do mundo do Apache Spark, destinado a profissionais e entusiastas da tecnologia que desejam mergulhar no processamento de dados em larga escala. Este livro é uma combinação perfeita de teoria detalhada e prática hands-on, tornando-o ideal para quem busca compreender e aplicar PySpark em ambientes reais de trabalho.

Desde a introdução às funcionalidades básicas do PySpark até conceitos avançados e melhores práticas, este guia cobre cada aspecto essencial que você precisa conhecer. O livro começa com uma exploração aprofundada do ecossistema Spark, seguido por uma imersão nos fundamentos do PySpark, onde você aprenderá sobre RDDs, DataFrames e Datasets. A jornada continua com a exploração de operações de SQL, manipulações avançadas de dados e técnicas de processamento de streaming, fundamentais para o trabalho com grandes volumes de dados.

Os capítulos dedicados a melhores práticas e otimização de performance, integração com bancos de dados e sistemas de armazenamento, e construção de aplicações reais com PySpark fornecem insights valiosos para aplicar o conhecimento em cenários do mundo real. O livro também aborda estratégias para manutenção e atualização de aplicações Spark, essenciais para qualquer profissional que deseja manter suas habilidades e projetos atualizados.

Olhando para o futuro, "Aprendendo PySpark" prepara você para as tendências emergentes no processamento de dados e oferece orientações sobre aprendizado contínuo e recursos da comunidade, garantindo que você permaneça na vanguarda da tecnologia de dados.

Resumo dos Capítulos:

1. Introdução ao PySpark e seu Ecossistema: Comece sua jornada entendendo o que é PySpark e seu ecossistema.
2. Fundamentos de PySpark: Mergulhe nos conceitos básicos e operações do PySpark.
3. Transformações e Ações no PySpark: Aprenda sobre transformações comuns e ações no Spark.
4. Operações de SQL no Spark: Explore como o SQL é integrado ao PySpark.
5. Junções Avançadas e Manipulação de Dados: Domine técnicas avançadas de manipulação de dados.
6. Trabalhando com Streaming de Dados: Entre no mundo do processamento de streaming de dados.
7. Melhores Práticas e Otimização de Performance: Descubra como otimizar suas aplicações Spark.
8. Integração com Bancos de Dados e Sistemas de Armazenamento: Aprenda a conectar o PySpark a diferentes fontes de dados.
9. Construindo Aplicações Reais com PySpark: Dicas e práticas para desenvolver aplicações Spark.
10. Olhando para o Futuro: Prepare-se para as futuras tendências do processamento de dados com Spark.

Este livro é um recurso indispensável para todos que buscam dominar o PySpark, desde iniciantes até profissionais experientes. Com "Aprendendo PySpark", você estará equipado não só para entender, mas para efetivamente aplicar as poderosas ferramentas do Spark em seus projetos de dados.


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Product Details
  • ISBN-13: 9798873673964
  • Publisher: Amazon Digital Services LLC - Kdp
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 426
  • Spine Width: 22 mm
  • Weight: 566 gr
  • ISBN-10: 8873673961
  • Publisher Date: 02 Jan 2024
  • Binding: Paperback
  • Language: Portuguese
  • Returnable: N
  • Sub Title: Passo a Passo
  • Width: 152 mm


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