Overcoming Performance Hurdles in Spark SQL with Delta Tables
Briefly

Skew: Data skew happens when partitions have uneven sizes, leading to processing bottlenecks. Using salting and repartitioning can mitigate skew and distribute data evenly.
Shuffle operations like joins are essential but can be costly. Utilizing techniques like broadcast joins can help minimize shuffle in tasks like large join operations.
Read at Medium
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