Yes, DataFrames in PySpark are lazily evaluated, similar to RDDs. Lazy evaluation is a key feature of Spark’s processing model, which helps optimize the execution of transformations and actions on large datasets. Contents1 What is Lazy Evaluation?2 How Lazy Evaluation Works in Spark DataFrames3 Example to Illustrate Lazy Evaluation4 Benefits of Lazy Evaluation5 Summary What … Continue reading Are Dataframes in PySpark Lazy evaluated?