How DBMS Performance is Improved?

Answer: DBMS performance is improved through measures like indexing, query optimization, normalization, caching, and so on.

Optimizing DBMS performance enhances efficiency and reliability.

1. Query Optimization: Query Optimization involves enhancing SQL queries for efficiency by analyzing execution plans and utilizing appropriate indexing strategies.
2. Indexing: Indexing entails creating indexes on frequently queried columns and accelerating data retrieval by enabling quick lookup.
3. Normalization: Normalization organizes data into normalized tables, reducing redundancy and enhancing storage efficiency.
4. Denormalization (Selective) : Selective Denormalization strategically introduces redundancy to minimize joins and enhance query performance in specific scenarios.
5. Partitioning: Partitioning divides large tables into smaller partitions based on criteria such as range or hash, improving query performance.
6. Caching: Caching mechanisms store frequently accessed data in memory, enabling faster retrieval and reducing database load.
7. Hardware Upgrade: Hardware Upgrades involve enhancing system resources like RAM, CPU, and storage to efficiently handle larger workloads.
8. Query Tuning: Query Tuning fine-tunes queries by analyzing execution plans, identifying bottlenecks, and optimizing SQL code for better performance.
9. Storage Optimization: Storage Optimization utilizes efficient mechanisms like compression and data deduplication to minimize disk usage and enhance efficiency.
10. Concurrency Control: Concurrency Control mechanisms ensure efficient locking and handling of multiple concurrent transactions, enhancing overall database performance.