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Scenario: Your organization wants to modernize its existing on-premises data strategy. The current setup includes: Apache Hadoop clusters for processing multiple large datasets, including on-premises HDFS for data replication. Apache Airflow to orchestrate hundreds of ETL pipelines with thousands of job steps. You need to set up a new architecture in Google Cloud that can handle your Hadoop workloads while requiring minimal changes to your existing orchestration processes. Question: What should you do to migrate your existing Hadoop workloads and integrate your orchestration process with minimal changes?