An organization is experiencing slower query performance during peak business hours on their traditional data warehouse system. Which solution might alleviate this problem?

Slower query performance during peak business hours is often caused by excessive data volume. Data partitioning is a technique where large data sets are divided into smaller, more manageable partitions. By implementing data partitioning, the data warehouse can distribute the query workload more efficiently, resulting in faster query performance during peak times. This is a common optimization strategy for traditional data warehouses.