Scenario: An application requires frequent querying of aggregated data from multiple tables. How can materialized views be beneficial in this scenario within a DB2 environment?
- Materialized views can automatically index columns for faster query performance.
- Materialized views can automatically update themselves based on underlying table changes.
- Materialized views can enforce referential integrity constraints across multiple tables.
- Materialized views can store precomputed aggregated data, reducing query processing time.
Materialized views in DB2 can significantly enhance query performance in scenarios requiring frequent querying of aggregated data from multiple tables. By storing precomputed results, materialized views eliminate the need for repeated computation of aggregates, thereby reducing query processing time. This approach also minimizes resource utilization and enhances overall system efficiency. Materialized views can be periodically refreshed to ensure that the data remains up-to-date, providing users with accurate insights without the overhead of recalculating aggregates on the fly.
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