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Mastering Database Management Systems From Basics to advance
Rating: 4.7 out of 5(54 ratings)
153 students

Mastering Database Management Systems From Basics to advance

A comprehensive guide to understanding, designing, and managing relational databases using real-world concepts and SQL.
Created byEman shafique
Last updated 8/2025
English
English [Auto],

What you'll learn

  • Understand the core concepts and architecture of Database Management Systems
  • Design efficient databases using Entity-Relationship (ER) models
  • Apply normalization techniques to eliminate data redundancy and maintain integrity
  • Write SQL queries to create, modify, and retrieve data from relational databases
  • Implement complex SQL operations such as joins, subqueries, and aggregations
  • Analyze the differences between relational and non-relational databases
  • Explore indexing, transactions, and concurrency control in DBMS
  • Work with real-world examples to design and manage databases effectively

Course content

1 section • 10 lectures • 58m total length

  • DBMS AND ITS TYPES5:05

    Explore what a database management system is, why we use DBMS, and the four main types—hierarchical, network, relational (RDBMS), and object-oriented—along with one-tier, two-tier, and three-tier architectures.

  • DBMS ARCHITECTURE5:54

    Explore one-tier, two-tier, and three-tier database management system architectures, analyzing how users, applications, and databases interact across presentation, application, and database layers.

  • DATA MODELS6:56

    Explore the fundamental data models, including hierarchical, network, relational, ER, and object-oriented, and learn how they structure data, establish relationships, and guide database design with rules and constraints.

  • DATABASE LANGUAGES4:25

    Learn four core database languages—ddl, dml, dcl, and tcl—that define schemas, manipulate data, control access, and manage transactions to ensure data integrity.

  • KEYS5:28

    Explore how keys uniquely identify records and relate tables to maintain data integrity in relational databases, including primary, candidate, super, foreign, and composite keys.

  • NORMALIZATIONS5:40

    Learn how to normalize relational databases by reducing redundancy and improving integrity through 1nf, 2nf, 3nf, and bcnf, including breaking tables into logical units and defining relationships.

  • TRANSACTIONS6:10

    discover how transactions ensure data accuracy and integrity in multi-user databases using atomicity, consistency, isolation, and durability. understand transaction states and how locking or timestamp ordering prevents concurrency problems.

  • INDEXING QUERY7:30

    Explore how indexing and cost-based optimization speed up data retrieval by using single column, composite, clustered, and non-clustered indexes along with execution plans.

  • AUTHENTICATIONS5:18

    Master authentication and authorization fundamentals, including RBAC and role-based privileges. Prevent SQL injection with prepared statements and input validation, and apply encryption and safe coding practices to protect data.

  • CENTRALIZED AND DISTRIBUTED5:58

    Explore centralized versus distributed DBMS, their scalability and fault tolerance, and learn how CAP trade-offs guide NoSQL choices with MongoDB, data models, and real-time microservices use cases.

Requirements

  • A basic understanding of computer fundamentals

Description

The Database Management System (DBMS) course is designed to provide a deep and structured understanding of how data is stored, organized, and managed in the digital world. Whether you are a computer science student, aspiring developer, data analyst, or IT professional, this course offers the foundational and advanced knowledge needed to work effectively with databases.

Databases are at the heart of almost every application we use today—from social media platforms to banking systems. This course explores both the theoretical and practical aspects of DBMS. You’ll learn how databases function behind the scenes, how data is structured and retrieved, and what makes a database system efficient and reliable. By building a strong foundation in relational models, entity-relationship diagrams, and normalization, you'll be able to design systems that avoid redundancy and ensure data integrity.

In addition to conceptual topics, the course also walks you through SQL, the standard language for interacting with relational databases. Through practical examples and guided exercises, you’ll develop a hands-on understanding of how to create tables, insert and retrieve data, perform complex queries, and manage relational data across multiple tables.

This course is thoughtfully organized to build your knowledge step-by-step, offering clarity and depth at each stage. Whether you're preparing for academic exams, job interviews, or simply want to master databases for personal or professional development, this course will guide you toward becoming confident in handling real-world database systems.

Who this course is for:

  • Students studying computer science, software engineering, or related fields
  • Aspiring developers who want to strengthen their understanding of databases
  • Data analysts and business intelligence professionals looking to manage and query data efficiently
  • IT professionals who need to design, manage, or maintain database systems
  • Anyone preparing for academic exams or job interviews related to DBMS and SQL
  • Self-learners interested in understanding how data is structured and handled in real-world applications

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