Scenario: A company plans to expand its user base, leading to increased data access requests. How can DB2's architecture accommodate this growth without compromising performance?

Data Partitioning can help distribute data across multiple physical storage devices or servers, allowing parallel processing of queries and accommodating increased user requests. It enhances scalability by reducing contention for resources and improving overall system performance.