Using Amazon EMR is beneficial for processing large volumes of data in scenarios where data transformation workflows need to be parallelized across a cluster of instances.
False
True
The correct answer is true. Amazon EMR is designed to efficiently process vast amounts of data across resizable clusters of Amazon EC2 instances. It supports parallel processing, which helps speed up data analytics jobs and is capable of handling complex transformation workflows, making it suitable for big data processing scenarios. On the other hand, using a single EC2 instance or a service that cannot parallelize tasks would not offer the same level of performance for large-scale data processing challenges.
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