Here is the answer of the question: An organization’s analysts use Spark Shell. However, their IT department is concerned about the increase in usage and how to scale their cluster, which is running in Standalone mode. How does Cloud Dataproc help?
- Cloud Dataproc consolidates data marts into datasets and provides the ability to simply manage all datasets.
- Cloud Dataproc supports Spark and can create clusters that scale for speed and mitigate any single point of failure.
- Cloud Dataproc can act as a landing zone for log data at a low cost.
- Cloud Dataproc enables you to convert audio to text by applying neural network models in an easy-to-use API.
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