What is Lazy Evaluation?
Answer / Jaikant Kumar
Lazy evaluation in Spark means that transformations are not executed until an action is called. This allows Spark to optimize the data processing pipeline by grouping together multiple transformations before actually computing the result, leading to improved performance.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the Apache Spark Architecture. How to Run Spark applications?
Explain about the parts of Spark Architecture?
By what method can Spark be associated with Apache Mesos?
How DAG functions in Spark?
How might you limit information moves when working with Spark?
What is rdd in pyspark?
How might you associate Hive to Spark SQL?
What record frameworks does Spark support?
What is pyspark sql?
Can I use pandas in pyspark?
Why is pyspark used?
Show some utilization situations where Spark beats Hadoop in preparing?