Full Stack • Java • System Design • Cloud • AI Engineering

SQL Learning Path

A complete ordered SQL learning path covering fundamentals, basics, DDL, constraints, DML, joins, subqueries, functions, aggregate functions, window functions, transactions, indexes, views, stored procedures, triggers, and advanced SQL topics.

SQL is the language used to work with relational databases.

It helps you:

  • Create database objects.
  • Insert, update, delete, and query data.
  • Join data from multiple tables.
  • Aggregate and analyze data.
  • Control transactions.
  • Improve query performance.
  • Build views, procedures, triggers, and advanced database workflows.

This page is the home article for the SQL section. Use it as the ordered table of contents for the complete SQL series.

The order below also controls the Previous and Next navigation at the bottom of each SQL article.

Complete SQL Order

SQL Foundations

Start here if you are new to databases or want a clean refresh.

No Article What You Will Learn
01 SQL Fundamentals SQL basics, DDL, DML, DQL, joins, constraints, transactions, and query execution
02 SQL Basics & DDL CREATE, ALTER, DROP, data types, schemas, and database object management
03 SQL Constraints PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK, and DEFAULT constraints

Querying and Data Operations

These articles teach the SQL you use every day in real applications.

No Article What You Will Learn
04 SQL DML Operations INSERT, SELECT, UPDATE, DELETE, MERGE, and practical data manipulation
05 SQL Joins INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF joins
06 SQL Subqueries Scalar, correlated, EXISTS, IN, ANY, and ALL subqueries

SQL Functions and Analytics

Use these when you need reporting, analytics, and data transformation.

No Article What You Will Learn
07 SQL Functions Scalar, built-in, table-valued, and user-defined functions
08 SQL Aggregate Functions COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING, ROLLUP, and CUBE
09 SQL Window Functions ROW_NUMBER, RANK, DENSE_RANK, LEAD, LAG, and window aggregates

Transactions and Performance

These topics matter when SQL moves from learning to production.

No Article What You Will Learn
10 SQL Transactions ACID properties, commits, rollbacks, isolation levels, and locking
11 SQL Indexes B-Tree, clustered, non-clustered, composite, and covering indexes

Database Programmability

These topics help you build reusable database-level logic.

No Article What You Will Learn
12 SQL Views Simple views, complex views, materialized views, and view security patterns
13 SQL Stored Procedures Parameters, control flow, error handling, cursors, and transactions
14 SQL Triggers BEFORE, AFTER, INSTEAD OF triggers, audit use cases, and best practices

Advanced SQL

Finish here once the core SQL concepts are comfortable.

No Article What You Will Learn
15 Advanced SQL Topics CTEs, recursive queries, PIVOT, dynamic SQL, optimization, and partitioning

Recommended Learning Flow

flowchart TD
    A["01 SQL Fundamentals"] --> B["02 SQL Basics and DDL"]
    B --> C["03 SQL Constraints"]
    C --> D["04 SQL DML Operations"]
    D --> E["05 SQL Joins"]
    E --> F["06 SQL Subqueries"]
    F --> G["07 SQL Functions"]
    G --> H["08 Aggregate Functions"]
    H --> I["09 Window Functions"]
    I --> J["10 Transactions"]
    J --> K["11 Indexes"]
    K --> L["12 Views"]
    L --> M["13 Stored Procedures"]
    M --> N["14 Triggers"]
    N --> O["15 Advanced SQL Topics"]

How to Study This Series

If you are new to SQL, follow the numeric order from 01 to 15.

If you are preparing for interviews:

  • Focus first on fundamentals, DML, joins, subqueries, aggregate functions, and window functions.
  • Then study transactions, indexes, views, stored procedures, and triggers.
  • Finish with advanced topics like CTEs, recursive queries, and query optimization.

Each article includes practical SQL examples, diagrams, use cases, and common interview points.