A retail analytics team runs an Amazon Redshift cluster on DC2 node types. Their query performance is acceptable, but data volume is growing rapidly and they are constantly forced to add nodes purely to gain more disk space, which also adds unneeded compute cost. They want to scale storage independently from compute while retaining fast local access to hot data. Which change best addresses this requirement?