Spark - What are Transformation? #spark #python #programming #learning #datascience #jeenu #sql

What are Transformations in Spark?

💎Transformations in Spark are operations that are applied to RDDs (Resilient Distributed Datasets) to create a new RDD.

💎When a transformation is applied to an RDD, it does not compute the result immediately. Instead, it creates a new RDD representing the transformed data but keeps track of the lineage (dependencies) between the original RDD and the transformed RDD.

💎Transformations are lazy evaluated, meaning Spark delays the actual computation until an action is triggered.

💎Examples of transformations include map(), filter(), flatMap(), groupByKey(), reduceByKey(), sortByKey(), etc.

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