Master Database Management Systems: Your Complete Roadmap

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

Basic overview

What is DBMS?

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Why Learn DBMS?

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Estimated time commitment for the roadmap.

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Phases of the Database Management Systems Roadmap

Phase 1: Fundamentals of DBMS

What is a Database?

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Introduction to DBMS

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

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Advantages and Disadvantages of DBMS

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

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Phase 2: Relational Database Concepts

Basics of Relational Model

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Keys: Primary, Foreign, Candidate, and Super Keys

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Entity-Relationship (ER) Model

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ER Diagrams and Conversions

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Relational Algebra and Calculus

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Phase 3: Structured Query Language (SQL)

Introduction to SQL

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DDL (Data Definition Language)

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DML (Data Manipulation Language)

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DCL (Data Control Language)

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Queries: SELECT, INSERT, UPDATE, DELETE

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

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Subqueries and Nested Queries

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Indexing and Optimization

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Phase 4: Normalization and Database Design

Introduction to Normalization

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

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De-normalization Techniques

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Database Design Principles

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Case Studies in Database Design

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Phase 5: Transaction Management

What are Transactions?

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ACID Properties

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Transaction States

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Concurrency Control Mechanisms

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Deadlock in DBMS

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Lock-Based and Timestamp-Based Protocols

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Phase 6: Database Storage and Indexing

File Organization (Heap, Clustered, and Hashing)

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Indexing Basics

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

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Hashing Techniques

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Storage Optimization Techniques

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Phase 7: Advanced SQL and PL/SQL

Stored Procedures and Functions

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Triggers and Views

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Cursors in SQL

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Transactions in SQL

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Performance Tuning in SQL

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Phase 8: Distributed Databases

Introduction to Distributed Databases

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Data Replication and Fragmentation

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CAP Theorem

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Distributed Query Processing

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Challenges in Distributed Databases

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Phase 9: NoSQL Databases

What is NoSQL?

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

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Comparison: SQL vs. NoSQL

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Introduction to MongoDB, Cassandra, and Redis

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Use Cases of NoSQL

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Phase 10: Database Security and Administration

Database Security Basics

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User Roles and Permissions

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Encryption in Databases

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SQL Injection and Prevention Techniques

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Backup and Recovery Strategies

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Phase 11: Emerging Trends in DBMS

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

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Big Data and DBMS Integration

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Machine Learning with Databases

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In-Memory Databases

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