8 Apache Spark repartition Vs. coalesce scenarios interview Q&As

Q01: Why is partitioning of data required in Apache Spark? A01: Partitioning is a key concept in distributed systems where the data is split into multiple partitions so that you can execute transformations on multiple partitions in parallel, which helps…


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