Master Database Management Systems: Your Complete Roadmap

Understand, design, and manage databases for academic success and industry readiness.

Basic overview

What is DBMS?

Why Learn DBMS?

Estimated time commitment for the roadmap.

Phases of the Database Management Systems Roadmap

Phase 1: Fundamentals of DBMS

What is a Database?

Introduction to DBMS

Types of Databases (Relational, NoSQL, Distributed, etc.)

Advantages and Disadvantages of DBMS

Database Models (Hierarchical, Network, Relational, and Object-Oriented)

Phase 2: Relational Database Concepts

Basics of Relational Model

Keys: Primary, Foreign, Candidate, and Super Keys

Entity-Relationship (ER) Model

ER Diagrams and Conversions

Relational Algebra and Calculus

Phase 3: Structured Query Language (SQL)

Introduction to SQL

DDL (Data Definition Language)

DML (Data Manipulation Language)

DCL (Data Control Language)

Queries: SELECT, INSERT, UPDATE, DELETE

Joins: INNER, OUTER, LEFT, RIGHT, and SELF

Subqueries and Nested Queries

Indexing and Optimization

Phase 4: Normalization and Database Design

Introduction to Normalization

Normal Forms (1NF, 2NF, 3NF, BCNF)

De-normalization Techniques

Database Design Principles

Case Studies in Database Design

Phase 5: Transaction Management

What are Transactions?

ACID Properties

Transaction States

Concurrency Control Mechanisms

Deadlock in DBMS

Lock-Based and Timestamp-Based Protocols

Phase 6: Database Storage and Indexing

File Organization (Heap, Clustered, and Hashing)

Indexing Basics

Types of Indexing: Single-level, Multi-level, and B+ Trees

Hashing Techniques

Storage Optimization Techniques

Phase 7: Advanced SQL and PL/SQL

Stored Procedures and Functions

Triggers and Views

Cursors in SQL

Transactions in SQL

Performance Tuning in SQL

Phase 8: Distributed Databases

Introduction to Distributed Databases

Data Replication and Fragmentation

CAP Theorem

Distributed Query Processing

Challenges in Distributed Databases

Phase 9: NoSQL Databases

What is NoSQL?

Types of NoSQL Databases (Document, Key-Value, Column, Graph)

Comparison: SQL vs. NoSQL

Introduction to MongoDB, Cassandra, and Redis

Use Cases of NoSQL

Phase 10: Database Security and Administration

Database Security Basics

User Roles and Permissions

Encryption in Databases

SQL Injection and Prevention Techniques

Backup and Recovery Strategies

Phase 11: Emerging Trends in DBMS

Cloud Databases and Services (AWS RDS, Google Cloud, Azure SQL)

Big Data and DBMS Integration

Machine Learning with Databases

In-Memory Databases

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