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