What are the basic requirements of a good database design?
What are the basic requirements of a good database design?
Review: Qualities of a Good Database Design
- Reflects real-world structure of the problem.
- Can represent all expected data over time.
- Avoids redundant storage of data items.
- Provides efficient access to data.
- Supports the maintenance of data integrity over time.
- Clean, consistent, and easy to understand.
What are database design tips?
Exploring Database Design Tips
- Use the right number of tables.
- Avoid repeating data.
- Avoid redundant data.
- Use a naming convention.
- Avoid nulls.
- Avoid secret codes.
- Use constraints wisely.
- Use triggers when appropriate.
What are the basics of database?
At its simplest, a database is made up of tables that contain columns and rows. Data separates by categories into tables to avoid duplication. For example, a business might have a table for Employees, one for Customers, and another for Products. Each row in a table is called a record, and each cell is a field.
Why good database design is important?
Importance of Database Design In order to ensure data accuracy, you must design a database that only stores relevant and valuable information. A well-designed database is essential to guarantee information consistency, eliminate redundant data, efficiently execute queries, and improve the database’s performance.
What is database schema design?
Database schema design organizes the data into separate entities, determines how to create relationships between organized entities, and how to apply the constraints on the data. Designers create database schemas to give other database users, such as programmers and analysts, a logical understanding of the data.
How do you design a database?
The design process consists of the following steps:
- Determine the purpose of your database.
- Find and organize the information required.
- Divide the information into tables.
- Turn information items into columns.
- Specify primary keys.
- Set up the table relationships.
- Refine your design.
- Apply the normalization rules.