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What is Spark vs Hadoop: Key Interview Insights about?

Spark is a parallel data processing framework that allows developing fast, unified applications for batch, streaming, and interactive analytics. It provides resilient distributed datasets (RDDs) that can be operated on in parallel. RDDs are immutable, partitioned collections that can be operated on using transformations and actions. Transformations are lazy operations that create new RDDs, while actions return values to the driver program and trigger job execution.

Author

consania

Language

EN