About Course

Welcome to the “Database Managment Systems” course! This course provides a thorough understanding of database concepts and applications. You will explore Database System Architecture, Data Models, and Relational Query Languages like SQL. The course covers Relational Database Design, Query Processing and Optimization, and Storage Strategies. You’ll also learn about Transaction Processing, ensuring data integrity, and Database Security to protect data. Finally, Advanced Topics will introduce you to the latest trends in database systems. By the end of this course, you’ll be equipped to design, implement, and manage databases effectively.

By the end of the "Database Management Systems" course, students will have a solid understanding of database architecture, various data models, and proficiency in SQL for managing relational databases. They will learn to design efficient and normalized databases, optimize query performance, and implement effective storage strategies. Students will also gain skills in transaction processing, ensuring data integrity and consistency, and understand the principles of database security to protect against unauthorized access. Additionally, they will be introduced to advanced topics and emerging trends in the field, preparing them for real-world database management and development challenges.

Course Content

Database system architecture
Learn about data abstraction, data independence, and the roles of DDL and DML in database systems. Explore the applications of database systems and understand the various types of database users.

Introduction To DBMS

06:03
DBMS Architecture

06:50
3 – Schema Architecture

05:53
SQL Command

07:12
Database system architecture

Data models
Understand the entity-relationship model, relational and object-oriented data models, integrity constraints, and data manipulation operations.

Relational query languages
Learn relational algebra and SQL, including DDL, DML, DRL, DCL, and TCL. Understand SQL functions, aggregate functions, join operations, and views.

Relational database design
Database Development Life Cycle includes Armstrong's axioms, functional dependencies, normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF), lossless joins, and dependency-preserving decomposition, all vital for robust and efficient database systems.

Query processing and optimization
Query processing and optimization involve steps such as evaluating relational algebra expressions and creating query evaluation plans. These plans can be cost-based or rule-based (heuristic), aiming to enhance database performance and speed up data retrieval

Transaction processing
Transaction processing maintains database integrity through ACID properties, concurrent control, and recovery methods like logging. These ensure data consistency and system reliability.

Database Security
Database Security includes authentication, access control, and defenses against SQL injection, crucial for protecting data and preventing unauthorized access.

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About Course

What Will You Learn?

Course Content

Database system architecture Learn about data abstraction, data independence, and the roles of DDL and DML in database systems. Explore the applications of database systems and understand the various types of database users.

Introduction To DBMS

DBMS Architecture

3 – Schema Architecture

SQL Command

Database system architecture

Data models Understand the entity-relationship model, relational and object-oriented data models, integrity constraints, and data manipulation operations.

Types of Keys

ER Model

Integrity Constraint

Data Models

Relational query languages Learn relational algebra and SQL, including DDL, DML, DRL, DCL, and TCL. Understand SQL functions, aggregate functions, join operations, and views.

Relational algebra

Join Operation

Generalization, Specialization and Aggregation

Relational Query Language

Relational database design Database Development Life Cycle includes Armstrong's axioms, functional dependencies, normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF), lossless joins, and dependency-preserving decomposition, all vital for robust and efficient database systems.

Functional dependencies

Armstrong’s axioms

DBMS Normal form – 1

DBMS Normal form – 2

Relational Decomposition

Relational database design

Query processing and optimization Query processing and optimization involve steps such as evaluating relational algebra expressions and creating query evaluation plans. These plans can be cost-based or rule-based (heuristic), aiming to enhance database performance and speed up data retrieval

Steps in Query Processing

Transaction State Diagram

Evaluation Expression

Query processing and optimization

Transaction processing Transaction processing maintains database integrity through ACID properties, concurrent control, and recovery methods like logging. These ensure data consistency and system reliability.

Schedule With It’s Types

Two Phase Commit Protocol

Database Recovery Method

Concurrency control

Transaction processing

Database Security Database Security includes authentication, access control, and defenses against SQL injection, crucial for protecting data and preventing unauthorized access.

DBMS Authentication

Database Security