This document discusses a case study on the performance and isolation of Hadoop and HBase in a cloud environment. It highlights the architecture of Hadoop, its key components such as HDFS and MapReduce, and their interactions with HBase for efficient data processing. The findings indicate that virtualization and flash storage significantly improve performance, particularly for workloads involving random reads and mixed data access patterns.