Caching in Spark Streaming allows data to be stored across multiple micro-b

Explain caching in spark streaming.

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Answer Posted / Bhavana

Caching in Spark Streaming allows data to be stored across multiple micro-batches for quick access during processing. Caching reduces the need for recomputation of data that is often used repeatedly, improving the performance and efficiency of your Spark Streaming application.

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