Explain the concept of RDD (Resilient Distributed Dataset) in Spark.

RDD (Resilient Distributed Dataset) is a fundamental data structure in Spark. It represents an immutable distributed collection of objects that can be processed in parallel. RDDs are fault-tolerant and can be stored in memory, which allows for faster data processing. They are the building blocks of Spark computations and provide the ability to recover lost data partitions.