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
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.
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: $reducedContent._2")) I would really appreciate if you can review above statement
Amazing talk, I left off Spark to move in to ML when there was only RDD, I came back and see DataFrame in Spark and I am totally confused, your video helped a lot, Thank you
Now i know about RDDs, DataFrames and Datasets. Thanks for explaining it more precisely. Appreciated.
this guy is such a good speaker
What an amazing talk! Crisp and Clear! truly impressed.
Thanks for in-depth explaining RDD DF And DS...
Thank you!
Such a pleasure to hear him talk!
Only 300 likes for such an informative, crystal clear talk??
this is a brilliant and fluid explanation
This is best and clear talk on 3 APIs
I had a nice learning time thanks for the talk!
Great Talk
Excellent talk. Thanks Jules Damji.
An excellent talk by a clear master.
Amazing presentation. Very intuitive..Thanks Boss!
Thanks for the video. Very understandable!
Amazing talk! very well explained indeed.
it was very insightful, such talks really helps developer why/how one should use structure API
What a brilliant talk!! Thanks
Very well explained !! Thank's
Amazing Talk. Thank you!
I am wondering how the "type safe" feature combines with the "unstructured data" that is the nature of data in the systems that spark would be used in.
Nice and informative video
I was trying out the example you mentioned @10:46 and as i am getting compile time error, I had to rewrite the final statement as below.
parsedRdd.filter( content => content._2 == "en").map(filteredContent => filteredContent._3).reduce(_+_).take(100).foreach(reducedContent => printf(s"$reducedContent._1: $reducedContent._2"))
I would really appreciate if you can review above statement
so good!!! thanks for this
Very good talk!
brilliant talk!
excellent explanation!! :D
Thanks!
Can you attach the links here?
awwwwesome talk thanks!
wow
No SS
Hibud
This was amazing! Pretty well explained!
Thanks!
Amazing Talk