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

[@daviduzumaki]

this guy is such a good speaker

[@techoral2261]

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

[@tdkboxster]

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

[@aliwaheed906]

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

[@mjrajeshmj]

Excellent talk. Thanks Jules Damji.

[@chiranjibghorai6950]

Such a pleasure to hear him talk!

[@rahultiwari2860]

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

[@abhiganta]

This is best and clear talk on 3 APIs

[@ctriz76]

this is a brilliant and fluid explanation

[@harshtiku3240]

An excellent talk by a clear master.

[@sayandbhattacharya1100]

I had a nice learning time thanks for the talk!

[@puja9689]

Amazing presentation. Very intuitive..Thanks Boss!

[@TheTambourinist]

Thanks for the video. Very understandable!

[@anibaldk]

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

[@shemantkr]

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

[@shannithssachin]

Great Talk

[@BasemKhalaf-uj7cc]

Thank you!

[@AllForLove3]

Amazing talk! very well explained indeed.

[@Blobonat]

Very good talk!

[@vipultyagi1369]

brilliant talk!

[@lbasavaraj]

What a brilliant talk!! Thanks

[@goodyoyo0214]

Amazing Talk

[@jijotitus1755]

Amazing Talk. Thank you!

[@soufianebenkhaldoun7765]

Very well explained !! Thank's

[@varundosapati7148]

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]

so good!!! thanks for this

[@tableauvizwithvineet148]

Nice and informative video

[@Chris_zacas]

This was amazing! Pretty well explained! Thanks!

[@Dyslexic_Neuron]

excellent explanation!! :D

[@nareshgb1]

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.

[@shankarsr1]

awwwwesome talk thanks!

[@meravchkroun4197]

Thanks! Can you attach the links here?

[@nithints302]

wow

[@AbhijeetSachdev]

[@ernesthert1898]

No SS

[@ernesthert1898]

Hibud