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Google Professional Data Engineer

Google Professional Data Engineer

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Your company operates a sizable on-premises cluster utilizing Spark, Hive, and HDFS within a colocation facility. This cluster is built to handle peak system usage, although many tasks are processed in batch mode, leading to significant fluctuations in cluster usage. The company is interested in transitioning to the cloud to minimize the overhead tied to maintaining on-premises infrastructure and to achieve cost savings. Additionally, there's an interest in modernizing the infrastructure with more serverless solutions to leverage cloud advantages. Considering the timing for contract renewal with the colocation facility, the company has a strict timeline of 2 months for the initial migration. What strategy would you recommend for this migration to both maximize cost efficiency in the cloud and complete the transition within the allocated timeframe?

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