Explain the concept of Spark’s shuffle operation.

Shuffle is an important operation in Spark that occurs when data needs to be redistributed across partitions during a stage boundary. It typically happens when data needs to be grouped, aggregated or joined across different partitions. Shuffle involves shuffling data between nodes in a cluster, which incurs network transfer and disk I/O overhead.