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Explain benefits of lazy evaluation in RDD in Apache Spark?
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Answer Posted / Saurabh Khandelwal
Lazy evaluation in RDD allows operations on datasets to be defined and optimized without actually executing them. This improves performance by allowing Spark to schedule tasks efficiently, especially for large datasets. Additionally, it enables chaining multiple transformations together before triggering computation.
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