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Answer Posted / Manish Kumar Rai
To get better performance with Apache Spark, consider using techniques such as caching and repartitioning data strategically, choosing the appropriate storage format (e.g., Parquet for larger datasets), optimizing serialization by using KryoSerializers, and configuring parallelism and memory settings according to your specific use case.
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