Database Design & Normalization refers to the structured process of organizing data within a database to ensure efficiency, consistency, and integrity. Database design involves defining tables, relationships, and data types to suit business requirements. Normalization is a technique applied during design that breaks down data into related tables, removing redundancy and dependency by dividing data into logical units. This process improves data accuracy, reduces anomalies, and enhances maintainability of the database system.
Database Design & Normalization refers to the structured process of organizing data within a database to ensure efficiency, consistency, and integrity. Database design involves defining tables, relationships, and data types to suit business requirements. Normalization is a technique applied during design that breaks down data into related tables, removing redundancy and dependency by dividing data into logical units. This process improves data accuracy, reduces anomalies, and enhances maintainability of the database system.
What is database design?
Database design is the process of structuring data for a database by defining tables, columns, data types, and relationships to fit business requirements and support efficient queries.
What is normalization in databases?
Normalization organizes data to reduce redundancy and anomalies by splitting data into related tables and using keys to link them.
What are the common normal forms (1NF, 2NF, 3NF) and why do they matter?
1NF eliminates repeating groups, 2NF removes partial dependencies on a candidate key, and 3NF removes transitive dependencies. These forms improve data integrity and update efficiency.
What are primary keys, foreign keys, and relationships?
A primary key uniquely identifies a row in a table. A foreign key references a primary key in another table. Relationships can be one-to-one, one-to-many, or many-to-many (often implemented with a junction table).