Mastering Resilient Distributed Datasets (RDDs) in Apache Spark with Scala
Apache Spark is a powerful big data processing framework designed to handle large-scale datasets efficiently. At its core lies the concept of Resilient Distributed Datasets (RDDs), which are immutable distributed collections that can be operated on using a rich set of high-level operations. RDDs play a pivotal role in enabling fault-tolerant and efficient distributed computing, … Read more