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databricks's Introduction

Udemy - Curso Databricks unificando seus dados e análise

Premisas e pré requisitos

  • Conhecimento básico de databricks;
  • Pode utilizar a versão community Links;
  • Necessário a criação de cluster, tables e notebooks;
  • Carregar todos os arquivos .csv que constam no diretório databricks/arquivos.
  • Lembrando que o databricks pode trabalhar com várias linguagens no mesmo notebook sendo necessário a marcação da lingaguem que será usada (%sql, %python, %scala, etc)

Estrutura de pastas

  • databricks
    • apostila do curso
    • arquivos: aqui ficam os arquivos .csv que serão utilizados no curso
    • notebooks:
      • dbc: todos os notebooks na extensão do databricks (.dbc)
      • html: todos os notebooks em formato html
      • ipynb: todos os notebooks em formato de Jupyter Notebook (extensão .ipynb)
      • rmd: Um dos notebooks está em R (extensão .rmd)

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