Overview of databases and their importance.

Types of databases (relational, NoSQL, etc.).

Evolution of database technology.

Entity-Relationship (ER) modeling.

Normalization techniques.

Data modeling tools and methodologies.

Basic and advanced SQL syntax.

Data definition language (DDL), data manipulation language (DML), and data control language

(DCL) commands.

SQL functions and operators.

Database security and authorization.

Backup and recovery strategies.

Performance tuning and optimization.

Monitoring and maintenance of databases.

Types of NoSQL databases (document-oriented, key-value, columnar, graph).

Use cases and benefits of NoSQL databases.

Concepts of data warehousing.

Design and implementation of data warehouses.

Introduction to business intelligence tools and techniques.

Integration of databases with applications

Database connectivity using programming languages (e.g., Java, Python).

Object-relational mapping (ORM) frameworks.

Big data and distributed databases.

Cloud-based databases.

Blockchain and decentralized databases.

roject Work: Practical implementation of database concepts and skills through a project.

Designing and developing a database system based on real-world requirements

Presentation and demonstration of the project.