Resilient Distributed Datasets (RDDs) are the fundamental building blocks of Apache Spark, serving as the primary abstraction for distributed data processing. In this comprehensive guide, we’ll delve deep into RDDs, exploring their characteristics, operations, and best practices for leveraging their power in your Spark applications. What are Resilient Distributed Datasets (RDDs)? RDDs are immutable, partitioned … Continue reading Resilient Distributed Datasets (RDDs) in Apache Spark: A Comprehensive Guide