116. Databricks | Pyspark| Query Dataframe Using Spark SQL

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  • Опубликовано: 31 дек 2024

Комментарии • 7

  • @anilmnt82
    @anilmnt82 Год назад +3

    Hi Raja,pls make a detailed video on spark performance tuning with a usecase n example

  • @oiwelder
    @oiwelder Год назад +2

    with interpolation it is not necessary to create the TempView. I liked!

  • @sanjaybedwal2385
    @sanjaybedwal2385 Год назад +2

    Thanks for the video Raja . But for me personally , I will still prefer using tempview feature as parametrizing the query seems to be a extra overhead to me . But I think there must be some more usecases for new feature which as of now I am not able to think of.

    • @rajasdataengineering7585
      @rajasdataengineering7585  Год назад +1

      Agreed. There are multiple options available now. Depending on developer's comfort, anthing can be used

  • @vishnupriyakasireddy8776
    @vishnupriyakasireddy8776 Год назад

    Hi Raja, How to follow your videos for a. beginner who wants to learn Pyspark? It would be great if you can provide datasets for all the above vidoes
    Thank you and waiting for your response