🗄️ Database Systems

Master database design, SQL programming, and data management principles. Learn about relational databases, normalization, and modern database technologies.

📚 Core Concepts

🔗

SQL Fundamentals

Learn the basics of SQL programming and database queries

SELECT INSERT UPDATE DELETE
🏗️

Database Design

Design efficient and normalized database schemas

ER Diagrams Normalization Relationships Constraints
🔍

Advanced SQL

Master complex queries and database operations

JOINs Subqueries Aggregation Window Functions

Performance & Optimization

Optimize database performance and query execution

Indexing Query Optimization Execution Plans Caching
🛡️

Transactions & ACID

Ensure data consistency and reliability

ACID Properties Concurrency Locking Isolation Levels
🌐

NoSQL Databases

Explore non-relational database technologies

Document Stores Key-Value Graph Databases Column Stores

🔗 SQL Fundamentals

Basic SQL Commands

SELECT Statement

SELECT column1, column2, ...
FROM table_name
WHERE condition
ORDER BY column1;

Purpose: Retrieve data from database tables

INSERT Statement

INSERT INTO table_name (column1, column2, ...)
VALUES (value1, value2, ...);

Purpose: Add new records to a table

UPDATE Statement

UPDATE table_name
SET column1 = value1, column2 = value2, ...
WHERE condition;

Purpose: Modify existing records

DELETE Statement

DELETE FROM table_name
WHERE condition;

Purpose: Remove records from a table

🏗️ Database Normalization

Normal Forms

First Normal Form (1NF)

Rule: Each table cell should contain a single value, and each record needs to be unique.

  • No repeating groups
  • Atomic values only
  • Primary key defined

Second Normal Form (2NF)

Rule: Must be in 1NF and all non-key attributes must be fully dependent on the primary key.

  • No partial dependencies
  • All attributes depend on entire primary key

Third Normal Form (3NF)

Rule: Must be in 2NF and no transitive dependencies exist.

  • No transitive dependencies
  • Non-key attributes don't depend on other non-key attributes

🔍 JOIN Operations

Types of JOINs

INNER JOIN

SELECT A.column1, B.column2
FROM table1 A
INNER JOIN table2 B ON A.id = B.id;

Returns only matching records from both tables

LEFT JOIN

SELECT A.column1, B.column2
FROM table1 A
LEFT JOIN table2 B ON A.id = B.id;

Returns all records from left table and matching from right

RIGHT JOIN

SELECT A.column1, B.column2
FROM table1 A
RIGHT JOIN table2 B ON A.id = B.id;

Returns all records from right table and matching from left

FULL OUTER JOIN

SELECT A.column1, B.column2
FROM table1 A
FULL OUTER JOIN table2 B ON A.id = B.id;

Returns all records from both tables

📈 Progress Tracking

SQL Fundamentals

85% Complete

Database Design

70% Complete

Advanced SQL

60% Complete

Performance Optimization

45% Complete

🎯 Practice Projects

E-commerce Database

Design a complete e-commerce database with products, customers, orders, and inventory management.

  • Product catalog with categories
  • Customer management system
  • Order processing workflow
  • Inventory tracking

Library Management System

Create a database for managing books, members, loans, and library operations.

  • Book catalog and categorization
  • Member registration and management
  • Loan tracking and returns
  • Fine calculation system

Social Media Database

Design a database for a social media platform with users, posts, comments, and relationships.

  • User profiles and authentication
  • Post and comment system
  • Friend/follower relationships
  • Activity feed generation

"Data is the new oil. It's valuable, but if unrefined it cannot really be used." - Clive Humby

AI Learning Assistant

Ask me about databases and SQL!

🗄️ Hi! I'm your database assistant. I can help you with:

  • 🔗 SQL Fundamentals & Queries
  • 🏗️ Database Design & Normalization
  • 🔍 Advanced SQL & JOINs
  • ⚡ Performance Optimization
  • 🛡️ Transactions & ACID Properties

What would you like to learn about?