Understanding Apache Spark Repartition and Coalesce under 60 seconds #interview #question

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Understanding Apache Spark Repartition and Coalesce under 60 seconds #interview #question

In this video, we will understand the best approach to Increase or Decrease the number of Partitions.

One of the most common interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.

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Can someone educate here to the viewers, how the Coalesce helps in reducing the partitions but at the same time avoid reshuffle (i.e. how it will merge the data in lesser partitions)?
I believe this understanding is imp here! Not the single liner answer.
Hoping someone can provide little explanation on it.

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