93. Databricks | Pyspark | Interview Question | Schema Definition: Struct Type vs Struct Field

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  • Опубликовано: 22 янв 2025

Комментарии • 12

  • @ranjansrivastava9256
    @ranjansrivastava9256 Год назад +2

    Well Explained !!!! The good thing is the resources are not getting bored. :) . Please create one video on the unstructured data that needs to be handled in Spark Notebook and convert it to structured.

    • @rajasdataengineering7585
      @rajasdataengineering7585  Год назад +1

      Thanks Ranjan, for your comment!
      Sure will create a video on unstructured data as well

  • @oiwelder
    @oiwelder 2 года назад +2

    excellent study material.

  • @Rammohan-ws9rv
    @Rammohan-ws9rv 9 месяцев назад +1

    Great 👏

  • @ketanmehta3058
    @ketanmehta3058 2 года назад +1

    Excellent 👌🏻

  • @rudrakasha-t1v
    @rudrakasha-t1v Год назад

    its completely understandable but one thing i missing you took only struct type (what will be type of name struct type).

  • @swatisaishree9130
    @swatisaishree9130 Год назад +1

    Please make some videos on streaming data also.

    • @rajasdataengineering7585
      @rajasdataengineering7585  Год назад

      Hi, I have already created one basic streaming video. Please refer that to get basic understanding. Have a plan to make video on advanced streaming concepts
      ruclips.net/video/zx5H82fmUPU/видео.html

  • @abhishekjoshi48
    @abhishekjoshi48 2 года назад

    Hi Raja thank you for such a wonderful content, just wantto know are you on LinkedIn ?