Master SQL: A Comprehensive Roadmap

Master the language of databases — Learn how to store, query, and manage data efficiently using SQL.

Basic overview

What is SQL?

Why Learn SQL?

Estimated time commitment for the roadmap.

Phases of the SQL Roadmap

Phase 1: Introduction to Databases & SQL

What is a Database?

Types of Databases (Relational vs Non-Relational)

Introduction to RDBMS (MySQL, PostgreSQL, SQL Server)

What is SQL and Why it is Important?

Installing a Local SQL Environment (XAMPP, MySQL Workbench, PostgreSQL)

Phase 2: Basic SQL Commands

Creating and Dropping Databases

Creating Tables (CREATE TABLE)

Data Types in SQL

Inserting Data (INSERT INTO)

Retrieving Data (SELECT)

Updating Data (UPDATE)

Deleting Data (DELETE)

Phase 3: Filtering & Sorting Data

WHERE Clause

AND, OR, NOT Operators

IN, BETWEEN, LIKE Operators

ORDER BY

LIMIT / TOP

Phase 4: Working with Multiple Tables

Understanding Primary & Foreign Keys

JOINs: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN

Aliases (AS)

Subqueries

Phase 5: Aggregate Functions & Grouping

COUNT(), SUM(), AVG(), MIN(), MAX()

GROUP BY

HAVING Clause

Phase 6: Data Constraints and Normalization

NOT NULL, UNIQUE, DEFAULT, CHECK

PRIMARY KEY, FOREIGN KEY

Data Integrity

Database Normalization (1NF, 2NF, 3NF)

Phase 7: Advanced SQL

Views (CREATE VIEW)

Stored Procedures

Triggers

Transactions (BEGIN, COMMIT, ROLLBACK)

Indexing

Window Functions

Phase 8: SQL Optimization Techniques

Query Optimization

Execution Plans

Using Indexes Properly

Avoiding Expensive Queries

Phase 9: Real-World Applications

Building a Student Database

Sales/Inventory Management System

Blogging System Database Design

Reporting with SQL

Phase 10: SQL for Different Use Cases

SQL for Web Developers

SQL for Data Analysts

SQL for Backend Developers

SQL with Python / PHP / Node.js

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