What is RDD?

RDD stands for Resilient Distributed Dataset. It is a fundamental data structure of Apache Spark that represents an immutable, partitioned collection of elements that can be operated on in parallel. RDDs are fault-tolerant, meaning that if a partition of an RDD is lost, it can be recomputed from the lineage of transformations that created it. They are commonly used for large-scale data processing and analysis tasks, such as data cleaning, transformation, and machine learning. RDDs can be created from various data sources like Hadoop Distributed File System (HDFS), local files, databases, and other RDDs.