Database Architecture DBMS Data Base Management System

Database architecture involves organizing data storage, retrieval, and management. It includes components like data models, schemas, indexing, and query optimization techniques.

Database Architecture

Database architecture refers to the structure and organization of a database system, outlining how data is stored, accessed, and managed. It typically follows a three-tier model comprising external, conceptual, and internal levels.

1. External Level

This is the user interface layer where individuals interact with the database.

Users at this level see a simplified view tailored to their specific needs.

Applications and queries from this level translate into requests that the database system understands.

2. Conceptual Level

The conceptual or logical level defines the overall structure of the database.

It includes the data model, which outlines entities, attributes, and relationships.

Ensures data independence, allowing changes in the database structure without affecting user interactions.

3. Internal Level

The internal level deals with how data is physically stored and accessed.

It includes details like data storage format, indexing, and algorithms for efficient data retrieval.

Focuses on optimizing performance and storage utilization.

The database architecture aims to provide a clear separation between these levels, promoting modularity and flexibility. This approach enables changes or upgrades in one level without significantly impacting the others, contributing to the overall efficiency, security, and maintainability of the database system.

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