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Overcoming Performance Hurdles in Spark SQL with Delta Tables

Common performance issues in Spark SQL: Spill, Skew, Shuffle, Storage, Serialization. Strategies like repartitioning, salting, and broadcast joins can help mitigate these challenges.
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