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Relational Databases Overview

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Definition and Structure: Relational databases organize data points with defined relationships for easy access
E.F. Codd invented relational database in 1970
Data stored in tables with rows and columns containing unique identifiers
Tables linked through foreign keys to establish relationships
Key Features: Uses Structured Query Language (SQL) as standard interface
Maintains physical data independence for schema changes
Ensures data integrity through entity and referential constraints
Supports multiple users accessing same database simultaneously
Advantages: Easy data categorization and storage
Provides single-time data storage without deduplication
Offers easy SQL query execution
Enables collaboration between users
Disadvantages: Requires strict structure and planning
Needs significant maintenance as data grows
Not suitable for handling large amounts of unstructured data
Difficult to scale horizontally across multiple servers
Examples: Standard databases include SQL Server, Oracle Database, MySQL
Cloud-based solutions available through services like Amazon RDS
Works best with structured data like customer information