Normalize the database: Normalizing the database eliminates data redundancy and improves data retrieval efficiency.
Use a high-performance database - High-performance databases have hardware and software optimized to eliminate bottlenecks, reduce memory overhead, and speed up data retrieval.
Use indexing: Indexing facilitates fast search and retrieval of data from a database.
Optimize database queries - Use appropriate SQL queries, limit the data returned by the query, and avoid joining multiple tables if possible.
Use a powerful server- Running the database on a powerful server ensures that it operates smoothly and efficiently, thereby facilitating fast data retrieval.
Avoid using database triggers: Database triggers are scripts that run automatically when specific events or changes occur in the database. These scripts can slow down data retrieval and should be avoided.
Ensure the database is well-structured - The database should have well-organized tables, fields, and relationships that are easy to understand and use.
Implement caching - Caching stores frequently accessed data in memory, reducing the time it takes to retrieve them from the database.
Asked: 2023-06-25 05:11:16 +0000
Seen: 7 times
Last updated: Jun 25 '23