Essentials Of Database Management Systems

RDBMS,Normalization,SQL

What you'll learn

Gained knowledge of DBMS architecture and query languages.

Understanding of relational languages and applied it to database design.

Designed and developed the database structure using SQL.

Utilized normalization techniques to identify and remove data anomalies.

Understood and visualized storage structures , handling concurrency, failure, and recovery concepts.

Requirements

Basic understanding of data structures and programming, usually in languages like C and Python.

Description

This Database Management Systems (DBMS) course offers a thorough introduction to the principles, architecture, and practical aspects of database systems. It focuses on various data models, with special emphasis on the relational model and the use of SQL for querying and managing data. Key areas of study include normalization, database design, transactions, concurrency control, and data recovery. Students will engage in hands-on projects using contemporary DBMS tools. The course also delves into indexing methods, storage management, and database security. The course emphasizes the use of Structured Query Language (SQL) for creating, querying, and managing databases. Core topics include database normalization, indexing, storage mechanisms, and query optimization to ensure data integrity, efficiency, and performance. Students will also explore advanced concepts such as transaction management, concurrency control, and database recovery techniques, which are essential for maintaining consistency and reliability in multi-user environments.Practical sessions and hands-on projects using popular DBMS software will help reinforce theoretical concepts and develop real-world skills. The course also touches on current trends in database systems, including NoSQL and distributed databases, providing a broader understanding of modern data management challenges.By the end of the course, students will be equipped to design, implement, and maintain efficient and secure database systems, preparing them for roles in software development, data analysis, and information systems management. Upon completion, learners will be equipped to efficiently design, implement, and maintain reliable, scalable, and secure database solutions.

Overview

Section 1: Introduction

Lecture 1 1.1 File Processing System

Lecture 2 1.2 Introduction and Applications of DBMS

Lecture 3 1.3 Basic terminologies of Database

Lecture 4 1.4 Database System Architecture

Lecture 5 1.5 Various Data Models

Lecture 6 1.6.1 ER Diagram Basics and Extensions (Part-1)

Lecture 7 1.6.2 ER Diagram Basics and Extensions (Part-2)

Section 2: Section 2

Lecture 8 2.1 Conversion of ER model to Relational Table

Lecture 9 2.2 Pitfalls in Relational Database systems

Lecture 10 2.3 Tuple Relational calculus

Lecture 11 2.4 Domain relational calculus

Lecture 12 2.5 Relational Algebra

Section 3: Section 3

Lecture 13 3.1 SQL commands (Part-1)

Lecture 14 3.1 SQL commands (Part-2)

Lecture 15 3.1 SQL commands (Part-3)

Lecture 16 3.1 SQL commands (Part-4)

Lecture 17 3.2 Constraints

Lecture 18 3.3 Joins

Lecture 19 3.4 Set operations

Lecture 20 3.5 Sub queries

Lecture 21 3.6 Views

Lecture 22 3.7 PL – SQL

Lecture 23 3.8 Triggers

Lecture 24 3.9 Cursors

Section 4: Section 4

Lecture 25 4.1 Normalization

Lecture 26 4.2 Need for Normalization & Types

Lecture 27 4.3 NF1 - First Normal Form (1NF)

Lecture 28 4.4 NF2 Second Normal Form (2NF)

Lecture 29 4.5 NF3 Third Normal Form (3NF)

Lecture 30 4.6 Boyce Codd normal form (BCNF)

Lecture 31 4.7 NF4 - Fourth Normal Form (4NF)

Lecture 32 4.8 NF5 - Fifth normal form (5NF)

Students and aspiring data base administrators interested in understanding DBMS concepts