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Database Management Systems

GyanDesk · IT Learning Track

Database Management Systems, from SQL to schema design.

A complete DBMS syllabus — 10 structured modules covering core concepts, keys & constraints, SQL, normalization, transactions, indexing, the ER model, security, data warehousing and recovery. Click any lesson to begin.

Modules

Lessons

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Core Concepts

The foundations: what a database is and how it stays reliable.

DBMS vs RDBMS ACID properties Database models (relational, hierarchical, network, OO)

Keys & Constraints

How records are uniquely identified and kept valid.

Keys: Primary, Foreign, Candidate, Composite, Super Constraints: NOT NULL, UNIQUE, CHECK, DEFAULT

SQL (Structured Query Language)

The language for defining, querying and controlling data.

DDL: CREATE, ALTER, DROP DML: SELECT, INSERT, UPDATE, DELETE DCL: GRANT, REVOKE Joins: Inner, Outer & Cross Subqueries, aggregates, GROUP BY & HAVING

Normalization

Structuring tables to remove redundancy and anomalies.

Normal forms: 1NF, 2NF, 3NF, BCNF Functional dependencies & decomposition

Transaction Management

Keeping data correct when many operations run at once.

Transactions: Commit, Rollback, Savepoint Concurrency control: locks, deadlocks, isolation

Indexing & Optimization

Making queries fast as data grows large.

Clustered & non-clustered indexes B+ Trees & hash indexing

Entity-Relationship Model

Modelling real-world data before you build the schema.

Entities, attributes & relationships

Database Security

Controlling access and defending against attacks.

User authentication & authorization SQL injection prevention

Data Warehousing & OLAP

Analysing large volumes of historical business data.

OLAP vs OLTP Basics of data warehousing

Backup & Recovery

Protecting data against loss and restoring it safely.

Backup & recovery strategies

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DBMS — frequently asked questions

Quick answers for students and professionals learning database management systems.

What are the main topics in DBMS?

Core DBMS topics include database concepts (DBMS vs RDBMS, ACID properties, database models), keys and constraints, SQL (DDL, DML, DCL, joins, subqueries), normalization, transaction management, indexing and optimization, the entity-relationship model, database security, data warehousing and OLAP, and backup and recovery. This page organises them into 10 structured modules.

What is the difference between DBMS and RDBMS?

A DBMS stores and manages data, often as files with little or no relationship between them, while an RDBMS stores data in related tables with rows and columns and enforces relationships using keys. An RDBMS also supports ACID properties and SQL more fully. Our dedicated DBMS vs RDBMS lesson explains the differences with examples.

What are the ACID properties of a transaction?

ACID stands for Atomicity, Consistency, Isolation and Durability. Together they guarantee that database transactions are processed reliably: a transaction either completes fully or not at all, leaves the database in a valid state, runs independently of other transactions, and survives system failures once committed.

What is normalization and why is it important?

Normalization is the process of organising tables and columns to reduce data redundancy and avoid update, insert and delete anomalies. By applying normal forms (1NF, 2NF, 3NF, BCNF) you create a cleaner, more consistent schema that is easier to maintain. The Normalization module covers each form step by step.

Is this DBMS material free?

Yes — every lesson linked on this page is completely free to read. Each opens a detailed, beginner-friendly guide written for students, exam preparation, and working professionals who want quick, reliable revision.