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Most Data Engineers know Spark. Very few know how to optimize Spark jobs at scale. Understanding these concepts can significantly improve your interview performance and help you solve real-world big data problems: Partitioning & Repartitioning Broadcast Joins Bucketing Caching & Persistence Adaptive Query Execution (AQE) Predicate Pushdown Data ...
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