#4 Transform Data in Databricks with PySpark | Transform with PySpark | ADLS To Databricks

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  • Опубліковано 11 гру 2024

КОМЕНТАРІ • 16

  • @askuala
    @askuala Рік тому

    Great tutorial, thank you!

  • @jamshedrushdie
    @jamshedrushdie 3 роки тому

    Very nice

  • @AlekyaTVL
    @AlekyaTVL 2 роки тому

    this tutorial was very good.It would be very helpful for many people if you share the productsales.csv file please try to share thanks in advance

  • @puthenful
    @puthenful 3 роки тому

    Nice

  • @shivanidubey1616
    @shivanidubey1616 4 роки тому

    Sir one question... If in prod environment if pipline got failed. And want to rerun from point of failure or activity which failed . Do not want execute complete pipline. How we can achieve.

    • @shikhagupta9261
      @shikhagupta9261 3 роки тому

      By clicking on that pipeline which has failed and run only that activity

    • @ajinkyaghadge2405
      @ajinkyaghadge2405 2 роки тому

      Theres an option called rerun from failed activity u can use that

  • @arvind1cool
    @arvind1cool 3 роки тому

    Hi your videos are very nice. Can you kindly create a video on azure data factory integration with data factory and the complete life cycle(like branching and merging with master)

  • @gulfashasayed9296
    @gulfashasayed9296 4 роки тому

    Can you attach productsales. Csv file?

    • @KeshavLearnTSelf
      @KeshavLearnTSelf  4 роки тому

      will see if I can create put in GIT and share the link in description.

  • @pavanreddy2270
    @pavanreddy2270 4 роки тому

    Hi babai iam pavan

  • @henokfeleke2687
    @henokfeleke2687 3 роки тому

    Can I get your email?