Apache Hive translates SQL-like queries into MapReduce jobs, which are executed on Hadoop's distributed file system (HDFS). Hive uses a metastore to store metadata about the tables and data, ensuring that queries are optimized for performance. This architecture allows Hive to handle petabytes of data and offers scalability for growing businesses.