Relational Database Models
The most common approach is the relational model, where data is organized into tables. Each table represents an entity (e.g., ‘Customers’, ‘Products’) with rows representing individual instances and columns defining attributes (e.g., ‘CustomerID’, ‘ProductName’). Relationships between these entities are established through keys.
A primary key uniquely identifies each row within a table, ensuring data integrity. Foreign keys link tables together by referencing the primary key of another table, establishing relationships like one-to-one, one-to-many, or many-to-many.
Normalization
Normalization is a process that aims to reduce data redundancy and improve database integrity. It involves organizing data into tables based on dependencies between attributes.
Common normal forms (1NF, 2NF, 3NF) represent increasing levels of normalization. Achieving 3NF minimizes data duplication while maintaining efficient querying.
3NF: Eliminates transitive dependencies – A -> B -> C implies A -> (B union C)
Data Types and Constraints
Selecting appropriate data types is crucial for efficient storage and accurate representation. Examples include integers, floating-point numbers, strings, dates, and booleans.
Constraints enforce rules on the data within a table, such as requiring unique values (UNIQUE), non-null values (NOT NULL), or validating ranges of values.
Indexing for Performance
Indexes are special lookup tables that speed up data retrieval operations. They improve query performance by allowing the database to quickly locate specific rows based on indexed columns.
However, indexes also consume storage space and can slow down write operations (inserts, updates, deletes). Strategic index design is key.
Index Lookup: Database uses index to find row location; then retrieves data from that location.
Frequently asked questions
What’s the difference between a primary key and a foreign key?
A primary key uniquely identifies rows in a table. A foreign key links tables together by referencing the primary key of another table.
Why is normalization important?
Normalization reduces data redundancy, improves data integrity, and simplifies database updates.
How do I choose which columns to index?
Index frequently queried columns – those used in WHERE clauses or JOIN conditions.
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