Spark - Repartition Or Coalesce

#spark #repartition
Video Playlist
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Big Data Full Course English - bit.ly/3hpCaN0
Big Data Full Course Tamil - bit.ly/3yF5uVD
Big Data Shorts in Tamil - bit.ly/3v2aL8p
Big Data Shorts in English - bit.ly/3tVEs9T
Hadoop in Tamil - bit.ly/32k6mBD
Hadoop in English - bit.ly/32jle3t
Spark in Tamil - bit.ly/2ZzWAJN
Spark in English - bit.ly/3mmc0eu
Hive in Tamil - bit.ly/2UQVUgv
Hive in English - bit.ly/372nCwj
NOSQL in English - bit.ly/2XtU07B
NOSQL in Tamil - bit.ly/2XVLLjP
Scala in Tamil : goo.gl/VfAp6d
Scala in English: goo.gl/7l2USl
Email: [e-mail]
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Technology in Tamil & English

[@dennysam829]

Really love your videos on spark. ❤

[@tanushreenagar3116]

Best explanation 👌

[@nagarajareddykorsipati2132]

Bro....i am eagerly waiting for vedios.........please upload continuously

[@techtransform]

is it because of we are dealing with less data?, if data grows then we can actually compare the results , thoughts ?

[@nagamanickam6604]

Thank you

[@yukeshkumar3566]

Clearly explained 👍

[@sunilprasathe7940]

Brother ... repartition solves the data skewness... ? whether it distributes the key to other partitions if it exceeds the size ?

[@justvenkyy...3423]

can you post on , working with small file in spark .how to fix or enhance the performance?

[@Growth__Hub_2805]

You are the kickstarter my journey in DE, So while watching these video, i am not able to get some methods u using , so do i need to go some beginer level than this, eg: toDF and lit in DF1 are unable to get what is ur suggesstion? like the way i missed some code areas when describe about spark custom partition with (extends u used at clas my Custom Partition_

[@karthikvenkataram4790]

👏👏👏👏👏