Spark is a new platform that was intended. It reinforces these applications while retaining MapReduce's scalability and fault tolerance. Spark unveils an abstraction called resilient files to achieve these goals (RDDs). An RDD is a read-only collection of objects that are sectioned across a set of machines and can be rebuilt if a partition is lost.
You will start to learn the Spark basics. You will later learn the distinctions between Hadoop and Spark. Spark outdoes Hadoop by 10x in iterative machine learning jobs and can be used to query a large dataset interactively with a sub-second response time. Later in this course, you will learn about RDDs.
Enroll yourself today in the Spark Basics course for free and get a certificate at the end of the course.