A comprehensive Database Management System (DBMS) project designed to demonstrate core database concepts, architecture, and practical implementation. This repository is intended for academic, research, and practical learning purposes.
- Project Overview
- Features
- DBMS Architecture
- Components of the DBMS
- Data Model & Schema
- Functional Requirements
- Implementation Details
- Optimization & Security
- Backup & Recovery
- Project Structure
- Deployment & Usage
- Contributors
- References
This project provides an end-to-end demonstration of a Database Management System, covering the essential components, layered architecture, and practical database operations. The aim is to showcase how a DBMS manages, secures, and optimizes data for various users and applications.
- Data definition, manipulation, and retrieval (CRUD operations)
- Transaction management with ACID properties
- Data security and integrity controls
- Multi-user concurrency support
- Data backup and recovery mechanisms
- Performance optimization (indexing, partitioning, caching)
- User roles: Administrator, Developer, End-user
The project follows the standard three-tier DBMS architecture:
| Layer | Description |
|---|---|
| External Layer | User interface/views; allows different users to see data as per their requirements |
| Conceptual Layer | Logical structure of the database; defines entities, relationships, and constraints |
| Internal Layer | Physical storage of data; handles indexing, partitioning, and low-level data organization |
| Component | Description |
|---|---|
| Hardware | Physical devices (servers, storage, network, I/O devices) |
| Software | DBMS software (e.g., MySQL, Oracle), OS, network software, application programs |
| Data | User data, metadata (data about data), application metadata |
| Procedures | Instructions for setup, backup, recovery, access control, and report generation |
| Database Access Language | SQL or similar languages for querying and manipulating data |
| People | DB administrators, developers, end-users |
- Entity-Relationship (ER) model for conceptual design
- Relational schema for logical design
- Example entities: User, Product, Order, Transaction
- Relationships: One-to-many (User–Order), Many-to-many (Product–Order)
- Constraints: Primary keys, foreign keys, unique, not-null
- User registration and authentication
- Data entry, update, and deletion with validation
- Querying data with filters and sorting
- Transaction support (commit, rollback)
- Access control based on user roles
- Reporting and analytics (e.g., sales reports, user activity)
- Backup and restore functionality
- Tables created using SQL DDL statements
- CRUD operations via SQL queries
- Transaction management ensuring ACID properties:
- Atomicity: All steps in a transaction complete or none do
- Consistency: Database remains in a valid state
- Isolation: Concurrent transactions do not interfere
- Durability: Completed transactions are permanent
- Indexes and partitions for performance
- Triggers and stored procedures for automation
- Indexing and data partitioning for fast access
- Caching frequently accessed data
- Access control: Role-based permissions
- Data encryption and audit trails for security
- Validation rules to ensure data integrity
- Regular automated backups (full and incremental)
- Recovery scripts to restore data after failure
- Backup verification and logs
- Install a compatible DBMS (e.g., MySQL, PostgreSQL, Oracle)
- Execute procedures and queries as needed
- Use provided sample queries for testing and reporting
- Devansh Wadhwani
- Arianna Vohra, Aaditi Verma, Ananya