Google Professional Data Engineer
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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?
Explanation:
Given the company's primary constraints of a 2-month deadline and the desire for cost savings, the optimal strategy involves a 'lift and shift' approach to Dataproc with Cloud Storage. This method ensures a swift migration within the deadline while leveraging Cloud Storage for cost efficiency by separating storage and compute, allowing for independent scaling. Full modernization, though advantageous, is time-consuming and best postponed until after the initial migration to meet the urgent timeline.