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Your customer currently employs Hadoop and Spark for on-premises data analytics, with the primary data stored on centrally accessed hard disks. They now seek to migrate their workloads to Google Cloud efficiently, considering scalability. You aim to select an architecture requiring minimal effort. What's the recommended approach?