The Cloud Dataproc approach allows organizations to use Hadoop/Spark/Hive/Pig when needed. It takes on average only 90 seconds between the moment resources are requested and a job can be submitted. What makes this possible?
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Correct answer: The separation of storage and compute..
Why this is the answer
Dataproc can start Hadoop, Spark, Hive, and Pig clusters quickly because data can remain in Google Cloud storage while processing resources are created only when needed. This lets clusters be temporary rather than long-running. Keeping persistent data outside the cluster reduces setup time and avoids tying storage capacity to compute capacity. The business value is faster processing with less idle infrastructure.
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