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A company is transitioning from an on-premises cluster utilizing Spark, Hive, and HDFS to the cloud to leverage cost savings and modernize their infrastructure. With a tight deadline of 2 months for the initial migration due to their colocation facility contract renewal, which migration strategy should they adopt to ensure cost savings while adhering to the timeline?
A company is transitioning from an on-premises cluster utilizing Spark, Hive, and HDFS to the cloud to leverage cost savings and modernize their infrastructure. With a tight deadline of 2 months for the initial migration due to their colocation facility contract renewal, which migration strategy should they adopt to ensure cost savings while adhering to the timeline?
Real Exam
A
Modernize the Spark workload for Dataflow and the Hive workload for BigQuery: This approach focuses on full modernization, which, while beneficial in the long term, may not be feasible within the constrained timeline.
14.3%
B
Migrate the workloads to Dataproc plus Cloud Storage; modernize later: This strategy offers a balanced approach, enabling timely migration with Cloud Storage for immediate cost benefits, deferring modernization for a later phase.
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