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Database Management SystemsTraining

Last Update

Jan,01 1970

Category

CSE/IT

Description

Module 1: Introduction to DBMS

  • Definition and purpose of a DBMS

  • Types of DBMS: Hierarchical, Network, Relational, Object-Oriented

  • DBMS vs RDBMS

  • Components of a database system

  • Advantages of using DBMS

Module 2: Data Models and Architecture

  • Entity-Relationship (ER) model

  • Relational model concepts

  • Database schemas and instances

  • Three-level database architecture (external, conceptual, internal)

Module 3: SQL – Structured Query Language

  • Introduction to SQL

  • Data Definition Language (DDL): CREATE, ALTER, DROP

  • Data Manipulation Language (DML): INSERT, UPDATE, DELETE

  • Data Query Language (DQL): SELECT, WHERE, GROUP BY, ORDER BY

  • Data Control Language (DCL): GRANT, REVOKE

Module 4: ER Modeling and Normalization

  • Entity, attributes, relationships

  • ER diagrams and mapping to relational models

  • Functional dependencies

  • Normal forms: 1NF, 2NF, 3NF, BCNF

  • Decomposition and lossless joins

Module 5: Keys and Indexing

  • Primary key, foreign key, candidate key

  • Composite and surrogate keys

  • Indexing: clustered and non-clustered

  • Hashing techniques

Module 6: Transactions and Concurrency Control

  • Transactions and ACID properties

  • Concurrency problems: lost update, dirty read, etc.

  • Lock-based and timestamp-based protocols

  • Deadlock handling

Module 7: Database Storage and File Organization

  • Disk storage and buffer management

  • Page layout and data blocks

  • File structures: heap, sorted, hashed files

  • B+ Trees and indexing mechanisms

Module 8: Query Processing and Optimization

  • Phases of query processing

  • Join strategies

  • Cost-based query optimization

  • Execution plans

Module 9: NoSQL and Modern Databases (Introductory)

  • Introduction to NoSQL: document, key-value, columnar, and graph DBs

  • Use cases for MongoDB, Cassandra, Redis, and Neo4j

  • Comparison with traditional RDBMS

  • CAP theorem basics

Module 10: Database Security and Backup

  • User roles and privileges

  • SQL injection and prevention

  • Backup and recovery strategies

  • Encryption and auditing

Requirements

What is a Database Management System?

A Database Management System (DBMS) is software that enables the creation, storage, retrieval, and management of data in a structured and efficient manner. It serves as the backbone for storing data in modern software applications and enterprise systems.

Why Learn DBMS?

  • Foundation for careers in software development, data science, and IT administration

  • Critical skill for handling data efficiently and securely

  • Powers applications in finance, healthcare, e-commerce, and more

  • Prepares for advanced topics like SQL, NoSQL, Big Data, and Data Warehousing

Curriculum