RDD Actions In Spark | Session 3 | Resilient Distributed Dataset

This session focuses on actions that you can apply on RDD in spark. This tutorial covers the following actions-
1) RDD Collect
2) RDD Count
3) RDD CountByValue
4) RDD Take
5) RDD Top
6) RDD Take Ordered
7) RDD Reduce
8) RDD Fold
9) RDD ForEach
This actions helps in writing computation logic and taking some action on your RDD in spark. This is done through in built functions in spark.
Watch all the RDD sessions-
• Playlist

[@NaturalPro100]

Your videos for spark are by far the best videos for starting out and understanding spark.Its almost one day and i know so much about spark through your videos.Amazing ....Thanks a ton :)

[@shubhamkumar-uz7ux]

very informative, it will be very helpful if you can perform some practical so that we can see the output .

[@JohnWick-zc5li]

Thanks Man for nice video

[@anubhavbiswas4142]

The description link leads to error 404.. Please upload some more spark tutorials.. Your teaching method and explanations are very easy to understand

[@vasavikakkat8040]

why did u stop posting videos on spark.. this is so helpful

[@MuhammadJansherQureshi]

top(n) is used to retrieve the maximum value from the dateset not number of records