Apache Spark Introduction

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  • Опубликовано: 26 янв 2025

Комментарии •

  • @hanumantshinde5652
    @hanumantshinde5652 Год назад +4

    The BEST video for aspiring Big data engineer. This one video gives u lot of information on various technologies as a starter. I needed such information I got it here. Thanks alot friend for the video

  • @sharatkumarsannamani3273
    @sharatkumarsannamani3273 3 года назад +7

    Thanks for Gautam (Data Engineering ), for his wonderful content videos on Big Data.
    Because of him I able to perform well in my first interview it self ( I am from Mechanical background)

  • @sulaimansheik4591
    @sulaimansheik4591 Год назад +1

    Excellent presentation. Great Knowledge Sharing video of Spark. Now I am planning to switch into BigData. your videos are eye opener. Thanks a Lot.

  • @soumikdutta77
    @soumikdutta77 2 года назад +2

    Beautifully explained giving an appropriate overview thus helping me in building up my confidence, approach towards becoming a spark developer. Thank you so much man. This content needs to get more & more views.

  • @willm9487
    @willm9487 2 года назад

    I am so glad I found this channel. Thank you, man!

  • @quruxdaxamarcadey413
    @quruxdaxamarcadey413 6 месяцев назад

    Thanks so much bro you give us full concepts about Spark thank you again and again

  • @kunjanbarot7374
    @kunjanbarot7374 2 года назад

    Great tutor ever on youtube …the way you explain everything it’s amazing ❤❤

  • @dipankardey1044
    @dipankardey1044 Год назад +1

    I started with pySpark first, but I wasn't much clear about what problem does it solve and can Spark replace Hadoop. I got a clear explanation in this video. I'll check out your playlist, I'm really interested about getting my hands dirty on big data tech(I'm a senior fullstack dev), but wasn't able to find out a clear guide how to learn bigdata techstack

  • @riteshmukhopadhyay6922
    @riteshmukhopadhyay6922 2 года назад +1

    The pcontent is pure, building the veery foundation of data engineering I really appreciate this much detailed info. I am continuing your playlist to seek more knowledge, please make projects on about handling datasets, building pipeline, building data warehouses etc this will enhance our understanding to a great extent.
    Thank you sooo much for this outstanding resources

  • @googlemani
    @googlemani 2 года назад +1

    Well explained about the overview of Spark. Good work Brother.

  • @vishalchauhan847
    @vishalchauhan847 3 года назад

    Thank you so much Gawtham. You explain the concepts in easy to understand and wonderful way.

  • @sohelsayyad7146
    @sohelsayyad7146 3 года назад +1

    Thank you, watching complete big data series.

  • @bharatiyaashish
    @bharatiyaashish 3 года назад +2

    chha gye guru; this was so elaborative and digestive also :)

  • @anirbansarkar6306
    @anirbansarkar6306 3 года назад

    This was an wonderful video. Explains so many concepts with such simple and easy to understand way. Thanks you so much😇😇

  • @silasphoshoko5511
    @silasphoshoko5511 2 года назад

    Best explanation ever ...Well done

  • @sundsrik2154
    @sundsrik2154 3 месяца назад

    Excellent explanation abstract level

  • @ittecheval1868
    @ittecheval1868 3 года назад +1

    awesome.... I dont have anything to say... esp. the integration of spark with hadoop

  • @prabavathyb.5912
    @prabavathyb.5912 3 года назад +1

    Woderful Explanation Gowtham

  • @BangaruJeevitam
    @BangaruJeevitam 9 месяцев назад

    Just what I wanted 😍

  • @anandhsrinivasan7484
    @anandhsrinivasan7484 5 месяцев назад

    Hi Gautam, this is the first video I have watched from your playlist. The information shared here is to the point. thanks for the video.

  • @sarkhanmammadli9673
    @sarkhanmammadli9673 Год назад

    very clear explanation! Thank you a lot!

  • @googlechannel3664
    @googlechannel3664 Год назад

    Awesome explanation bsir..

  • @laxmanprajapati3945
    @laxmanprajapati3945 Год назад

    Sir, Should we give the more memory to executor node or Should we increase the number of executor node for fast performance in spark? when to which?

  • @sanaayub5889
    @sanaayub5889 10 месяцев назад +1

    worth watching video .

  • @vijaysinhbodhale8080
    @vijaysinhbodhale8080 Год назад

    highly appreciative knowledge and video.

  • @aarthiswaminathan6894
    @aarthiswaminathan6894 3 года назад

    Do you have any video explaining CDC with spark?

  • @drishtinishchhalsahu3316
    @drishtinishchhalsahu3316 2 года назад

    You are amazing brother.

  • @datapixel9692
    @datapixel9692 Год назад

    Very well explained sir..🙏

  • @viditjain1365
    @viditjain1365 Год назад

    you should do a paid mentoring

  • @ridingbeast6063
    @ridingbeast6063 3 года назад

    Sir, I want to ask a simple question as I have watched multiple video, is there any practical coding in big data?
    As everyone is just telling me theories and I am comfortable in doing practical coding. Just like handling null NA values at all.
    I'm a bit confused 😕.

  • @rensraks2007
    @rensraks2007 3 года назад +1

    22:18 Some blah blah thing they explained.. 🤣. By the way Thank you so much.. excellent stuff!!

  • @gurue2494
    @gurue2494 3 года назад

    can i have full length spark with scala course from u?

  • @ashirmehmood1044
    @ashirmehmood1044 2 года назад

    great explanation bro

  • @pihupatil9189
    @pihupatil9189 9 месяцев назад

    Thnx for.video😊

  • @vaibhav_data
    @vaibhav_data 2 года назад

    Best explanation

  • @raviy10
    @raviy10 3 года назад

    Thanks Gautam !!!

  • @harshitbhateja1607
    @harshitbhateja1607 3 года назад

    Really helpful

  • @PrateekMundraprateek
    @PrateekMundraprateek 2 года назад +1

    ❤❤❤

  • @MahammadJilan-j3g
    @MahammadJilan-j3g Год назад

    All the vidoes are very nice, easy to follow, Great work and really appreciated, I wanted to learn BigData Engineer course from you, please let me know how can I contact you further. Thanks

  • @chandramouli1330
    @chandramouli1330 8 месяцев назад

    Excellent explanation Sir