Scenario: A software development team is experiencing slow query performance in their DB2 database. How can they leverage normalization and denormalization techniques to optimize database performance?
- Denormalize specific tables to eliminate joins and reduce query execution time.
- Normalize the database to reduce redundancy and improve query performance.
- Optimize SQL queries and use proper indexing techniques to improve query performance.
- Partition large tables and indexes to enhance parallel processing.
In addressing slow query performance, normalization is essential to minimize redundancy and improve data organization, thus enhancing query performance. However, denormalization can also be beneficial in specific cases, such as eliminating joins to reduce query execution time. Partitioning large tables and indexes can enhance parallel processing and improve query performance. Additionally, optimizing SQL queries and utilizing proper indexing techniques are crucial for optimizing database performance.
Loading...
Related Quiz
- Scenario: A developer is working on integrating XML data into a DB2 database. However, they encounter an error due to invalid characters within the XML tags. How can they address this issue?
- Explain the concept of isolation levels in DB2 and their significance in concurrency control.
- DB2 handles invalid XML characters within tags by ________ them with equivalent HTML entities.
- Scenario: A critical table in the database was accidentally deleted. What recovery strategy can the DBA employ to restore the table and minimize data loss?
- What does DB2 offer in terms of scalability?