30 Data Skipping and Z-Ordering in Delta Lake Tables | Optimize & Data Compaction Delta Lake Tables

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  • čas přidán 7. 09. 2024

Komentáře • 12

  • @mohitupadhayay1439
    @mohitupadhayay1439 Před 28 dny

    What a Gold mine of an Information.
    This is the only channel where Spark optimization techniques are being taught so eloquently.
    I have seen Raja's DE channel, Learn with Data and many more no one is even 1% close to this content.
    Kudos to you man.
    Would love to see you do a Project on a full Huge dataset so we can learn the complexities and how to overcome them!
    Thanks again for your phenomenal efforts! You deserve all the praise.

    • @easewithdata
      @easewithdata  Před 28 dny

      Thank you so much for such a praise 💓 Can't explain how much thrilled am I feeling, after such comparisons with those huge channels. Please make sure to share your experience with your network over LinkedIn 👍 This helps a lot 💓
      Don't forget to tag @Subham Khandelwal 😊

  • @user-dj4ht7rg2f
    @user-dj4ht7rg2f Před dnem

    Been binge watching your playlists!! Trust me i have been through 10's of DE channels and none comes closer to yours. Your teachings are precise and very easy to understand. Thanks for making these playlist!! and please don't stop, The views will get sky rocketed, It's just a matter of time. Good Speed to you Subham :)

    • @easewithdata
      @easewithdata  Před 18 hodinami

      Thank you so much for your lovely comment! ❤️ I hope my playlist made it easier for you to learn PySpark.
      To help me grow, please make sure to share with your network over LinkedIn 👍 And make sure to follow me over LinkedIn. Thanks !!

    • @user-dj4ht7rg2f
      @user-dj4ht7rg2f Před 41 minutou

      @@easewithdata Yes Yes!! Already did that.

  • @mohitupadhayay1439
    @mohitupadhayay1439 Před 28 dny

    Can't wait for the next video!

    • @easewithdata
      @easewithdata  Před 28 dny

      New videos on this series will be added on ad-hoc basis. Make sure to follow so that you don't miss anything.
      Currently we are working on Databricks Zero to Hero series. Checkout that one on the same channel.

  • @yangwang7656
    @yangwang7656 Před 4 hodinami

    This series is definitely killing it and is the best content on learning Spark so far! Thanks for making everything free and sharing the knowledge. Do you have any links to send you some credits ? Your hard work and efforts deserve it!

    • @easewithdata
      @easewithdata  Před 7 minutami

      Thank you so much for such a lovely comment 😊 I really dont want any credits in exchange of sharing my knowledge. If you really want to help, then share this playlist with all your friends and network over LinkedIn ❤️

  • @karthikinu
    @karthikinu Před měsícem

    Nice explanation 👍🏼

    • @easewithdata
      @easewithdata  Před měsícem

      Thanks 👍 Please make sure to share with your network over LinkedIn ❤️

  • @rakeshpanigrahi577
    @rakeshpanigrahi577 Před měsícem

    Nice :)