You have set up an analytics environment on Google Cloud for your data scientist team, allowing them to explore data without affecting the on-premises Apache Hadoop solution. The data stored in the on-premises Hadoop Distributed File System (HDFS) cluster is formatted in Optimized Row Columnar (ORC) files and includes multiple columns of Hive partitioning. Your data scientist team requires the capability to explore this data using SQL on the Hive query engine, similar to how they do on the on-premises HDFS cluster. To meet this requirement, you need to determine the most cost-effective storage and processing solution. What should you do?