Answer Posted / Atul Kumar Ojha
Apache Spark's lazy evaluation (also known as Spark's apathy to evaluation) provides several benefits: 1) Improved performance, as computation and data movement are deferred until required. 2) Flexibility in transforming datasets without executing them immediately, allowing for complex workflows with minimal impact on performance. 3) Enhanced readability of code, as the programmer can define a series of operations and their dependencies before running the computation.
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