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The concept is now clear for me after searching all over the net from last 3 months. Thanks a lot. Your videos are very simple to understand. Please upload more on spark as I have finished watching all your videos and they are simply superb.
Holy cow, u explained in 12min something I had to understand in 1 hour from other videos.
Your explanation is amazing which I couldn't get even spending hrs.
this is god-level video. thanks a lot.
Great video
Very clear. Thx
At most one key value pair per id per node (not key value pair per node as far as I understand) after using the reduceByKey().
Please keep posting new videos on spark and scala ... Your videos are awesome 👍
thx you for this video, it helps a lot!
Amazing.
Gold!!
why there is no mapper side optimisation for the groupByKey operation?
Very good tutorial. Hats off to you.
非常好的教程,感谢。
我也觉得
Awesome explanation... Thank you so much to explain concepts very clearly
Best
commenting for the UA-cam algorithm
OutstandingMa'm will you please notes of your lectures...
The concept is now clear for me after searching all over the net from last 3 months. Thanks a lot. Your videos are very simple to understand. Please upload more on spark as I have finished watching all your videos and they are simply superb.
Holy cow, u explained in 12min something I had to understand in 1 hour from other videos.
Your explanation is amazing which I couldn't get even spending hrs.
this is god-level video. thanks a lot.
Great video
Very clear. Thx
At most one key value pair per id per node (not key value pair per node as far as I understand) after using the reduceByKey().
Please keep posting new videos on spark and scala ... Your videos are awesome 👍
thx you for this video, it helps a lot!
Amazing.
Gold!!
why there is no mapper side optimisation for the groupByKey operation?
Very good tutorial. Hats off to you.
非常好的教程,感谢。
我也觉得
Awesome explanation... Thank you so much to explain concepts very clearly
Best
commenting for the UA-cam algorithm
Outstanding
Ma'm will you please notes of your lectures...