Databases manage large data volumes with scalability, speed, and flexibility. Key systems include:
They facilitate efficient CRUD operations and transactional processing (OLTP) structured by schema that organizes data into tables and relationships.
Key Features
- structured data: Organized for efficient CRUD operations, allowing reliable access.
- Relational Database: Use SQL to manage data in tables with relationships expressed through foreign keys and joins, minimizing redundancy.
Structure
- Data is organized into tables (like spreadsheets) with columns (fields) and rows (records), enabling efficient storage and retrieval.
Flexibility
- Databases have a flexible schema that adapts to evolving requirements, unlike static solutions like spreadsheets.
Related Ideas:
- Spreadsheets vs Databases
- Database Management System (DBMS)
- Components of the database
- Relating Tables Together
- Turning a flat file into a database
- Database Techniques
Tasks:
- Investigate pyodbc ✅ 2025-09-28