RDD in Apache Spark stands for Resilient Distributed Datasets. It is a fundamental data structure of Spark that acts as an immutable distributed collection of objects. Each dataset in RDD is divided into logical partitions, which are computed on different cluster nodes. RDDs can contain any Python, Java, or Scala objects, including user-defined classes.
