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Answer Posted / Saurabh Rana
Lazy evaluation in Apache Spark provides several benefits. Firstly, it reduces the overhead of processing intermediate results by only calculating them when necessary, improving efficiency and performance. Secondly, it allows for better parallelization as tasks can be executed concurrently, taking advantage of multi-core processors and distributed computing resources. Lastly, it enables operators to be chained together seamlessly, making data transformations more flexible and easier to manage.
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