A Tale of Three Apache Spark APIs: RDDs, DataFrames, and Datasets - Jules Damji

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  • čas přidán 26. 08. 2024

Komentáře • 38

  • @aliwaheed906
    @aliwaheed906 Před 3 lety +9

    Amazing talk, I left off Spark to move in to ML when there was only RDD, I came back and see DataFrame in Spark and I am totally confused, your video helped a lot, Thank you

  • @techoral2261
    @techoral2261 Před 2 lety

    Now i know about RDDs, DataFrames and Datasets. Thanks for explaining it more precisely. Appreciated.

  • @daviduzumaki
    @daviduzumaki Před 10 měsíci

    this guy is such a good speaker

  • @tdkboxster
    @tdkboxster Před 5 lety +9

    What an amazing talk! Crisp and Clear! truly impressed.

  • @rahultiwari2860
    @rahultiwari2860 Před 5 lety +1

    Thanks for in-depth explaining RDD DF And DS...

  • @BasemKhalaf-uj7cc
    @BasemKhalaf-uj7cc Před 2 měsíci

    Thank you!

  • @chiranjibghorai6950
    @chiranjibghorai6950 Před 6 lety +1

    Such a pleasure to hear him talk!

  • @anibaldk
    @anibaldk Před 5 lety +1

    Only 300 likes for such an informative, crystal clear talk??

  • @ctriz76
    @ctriz76 Před 6 lety +3

    this is a brilliant and fluid explanation

  • @abhiganta
    @abhiganta Před 5 lety

    This is best and clear talk on 3 APIs

  • @sayandbhattacharya1100
    @sayandbhattacharya1100 Před 8 měsíci

    I had a nice learning time thanks for the talk!

  • @shannithssachin
    @shannithssachin Před 2 lety

    Great Talk

  • @mjrajeshmj
    @mjrajeshmj Před 4 lety

    Excellent talk. Thanks Jules Damji.

  • @harshtiku3240
    @harshtiku3240 Před 3 lety

    An excellent talk by a clear master.

  • @puja9689
    @puja9689 Před 4 lety +1

    Amazing presentation. Very intuitive..Thanks Boss!

  • @TheTambourinist
    @TheTambourinist Před 2 lety

    Thanks for the video. Very understandable!

  • @AllForLove3
    @AllForLove3 Před 5 lety +3

    Amazing talk! very well explained indeed.

  • @shemantkr
    @shemantkr Před 4 lety

    it was very insightful, such talks really helps developer why/how one should use structure API

  • @lbasavaraj
    @lbasavaraj Před 6 lety +1

    What a brilliant talk!! Thanks

  • @soufianebenkhaldoun7765
    @soufianebenkhaldoun7765 Před 5 lety +2

    Very well explained !! Thank's

  • @jijotitus1755
    @jijotitus1755 Před 4 lety +1

    Amazing Talk. Thank you!

  • @nareshgb1
    @nareshgb1 Před 6 lety

    I am wondering how the "type safe" feature combines with the "unstructured data" that is the nature of data in the systems that spark would be used in.

  • @tableauvizwithvineet148

    Nice and informative video

  • @varundosapati7148
    @varundosapati7148 Před 4 lety

    I was trying out the example you mentioned @10:46 and as i am getting compile time error, I had to rewrite the final statement as below.
    parsedRdd.filter( content => content._2 == "en").map(filteredContent => filteredContent._3).reduce(_+_).take(100).foreach(reducedContent => printf(s"$reducedContent._1: $reducedContent._2"))
    I would really appreciate if you can review above statement

  • @pauliewalnuts6734
    @pauliewalnuts6734 Před 4 lety +1

    so good!!! thanks for this

  • @Blobonat
    @Blobonat Před 4 lety

    Very good talk!

  • @vipultyagi1369
    @vipultyagi1369 Před 3 lety

    brilliant talk!

  • @Dyslexic_Neuron
    @Dyslexic_Neuron Před 5 lety

    excellent explanation!! :D

  • @meravchkroun4197
    @meravchkroun4197 Před 6 lety

    Thanks!
    Can you attach the links here?

  • @shankarsr1
    @shankarsr1 Před 5 lety

    awwwwesome talk thanks!

  • @nithints302
    @nithints302 Před 3 lety

    wow

  • @AbhijeetSachdev
    @AbhijeetSachdev Před 6 lety

  • @ernesthert1898
    @ernesthert1898 Před 6 lety

    No SS

  • @ernesthert1898
    @ernesthert1898 Před 6 lety

    Hibud

  • @Chris_zacas
    @Chris_zacas Před 5 lety +2

    This was amazing! Pretty well explained!
    Thanks!

  • @goodyoyo0214
    @goodyoyo0214 Před 4 lety

    Amazing Talk