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🟦 SQL Developer Roadmap β€” Backend Specialization

This roadmap is tailored for backend developers who want to master SQL fundamentals, performance optimization, and real-world database design for production systems. It covers PostgreSQL and MySQL, with light ORM usage (Prisma/TypeORM) near the end.


🧱 1. Foundations of SQL

🎯 Goals

Understand what SQL is, how databases work, and how to perform essential CRUD operations.

πŸ“š Learn

  • What is SQL? (vs NoSQL)
  • PostgreSQL vs MySQL β€” key differences
  • SQL syntax & structure
  • SELECT, INSERT, UPDATE, DELETE
  • WHERE, ORDER BY, LIMIT, OFFSET
  • DISTINCT, BETWEEN, IN, LIKE
  • Basic functions (COUNT, AVG, MAX, MIN, SUM)
  • Aliases & comments

🧩 Practice

SELECT name, email FROM users WHERE active = true ORDER BY created_at DESC;

🧠 Mini Projects

  • Simple User Database β€” CRUD operations on a users table.
  • Library Management DB β€” manage books, borrowers, and loans.

🧩 2. Intermediate SQL β€” Relationships & Joins

πŸ“š Learn

  • Database keys (Primary, Foreign, Composite)
  • One-to-One, One-to-Many, Many-to-Many
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
  • UNION, INTERSECT, EXCEPT
  • Subqueries & Nested SELECT
  • Aggregation & GROUP BY + HAVING

🧠 Example Query

SELECT d.name AS department, COUNT(e.id) AS employee_count
FROM departments d
JOIN employees e ON d.id = e.department_id
GROUP BY d.name
HAVING COUNT(e.id) > 5;

🧩 Mini Projects

  • Blog DB β€” users, posts, comments
  • E-commerce DB β€” customers, products, orders, order_items

βš™οΈ 3. Advanced SQL β€” Functions, Views & Procedures

πŸ“š Learn

  • Views (materialized & regular)
  • Stored Procedures & Functions
  • Triggers & Events
  • Transactions (COMMIT, ROLLBACK, SAVEPOINT)
  • CTEs (Common Table Expressions)
  • Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
  • Error handling in SQL

🧠 Example

CREATE OR REPLACE FUNCTION update_user_activity()
RETURNS TRIGGER AS $$
BEGIN
  UPDATE users SET last_active = NOW() WHERE id = NEW.user_id;
  RETURN NEW;
END;
$$ LANGUAGE plpgsql;

🧩 Mini Projects

  • Banking DB β€” simulate deposits, transfers, and logs using transactions.
  • Analytics Dashboard DB β€” use window functions to generate leaderboards.

πŸš€ 4. Database Design & Normalization

πŸ“š Learn

  • ER Diagrams (Entity-Relationship models)
  • Database normalization (1NF β†’ 3NF, BCNF)
  • Referential Integrity
  • Cascading deletes & updates
  • Data Types & Constraints
  • Indexing basics (B-Tree, Hash, GIN, BRIN)

🧱 Example

CREATE TABLE orders (
  id SERIAL PRIMARY KEY,
  customer_id INT REFERENCES customers(id) ON DELETE CASCADE,
  total NUMERIC(10,2) NOT NULL,
  created_at TIMESTAMP DEFAULT NOW()
);

🧩 Mini Projects

  • School Management DB β€” teachers, students, courses, enrollments.
  • Inventory System β€” products, suppliers, stock, transactions.

⚑ 5. Performance & Optimization

πŸ“š Learn

  • Indexing strategies & EXPLAIN ANALYZE
  • Query optimization & caching
  • Batch inserts & bulk updates
  • Partitioning large tables
  • Connection pooling (PgBouncer / MySQL Pool)
  • VACUUM & ANALYZE (Postgres)
  • Handling deadlocks & slow queries

🧠 Example

EXPLAIN ANALYZE
SELECT * FROM orders WHERE total > 1000;

🧩 Mini Projects

  • Performance Benchmark β€” compare queries with and without indexes.
  • Log Monitor β€” analyze query logs and detect slow queries.

🧰 6. ORMs & Integration with Backend

πŸ“š Learn

  • What is an ORM and when to use one
  • Prisma (Node.js) β€” schema.prisma basics
  • TypeORM / Sequelize quick start
  • Migrations, seeding & schema sync
  • Raw SQL vs ORM Queries

🧠 Example (Prisma)

const users = await prisma.user.findMany({
  where: { active: true },
  include: { posts: true }
});

🧩 Mini Projects

  • Next.js + Prisma + PostgreSQL β€” basic blog API.
  • Express + TypeORM + MySQL β€” order management API.

🧱 7. Advanced Topics β€” Production & Scaling

πŸ“š Learn

  • Database migrations & version control
  • Backups & restore (pg_dump, mysqldump)
  • Replication, Sharding & Failover
  • Security (roles, grants, SSL connections)
  • Using Docker for local databases
  • Cloud services (RDS, Supabase, PlanetScale)

🧩 Mini Projects

  • Production-ready DB Setup β€” Dockerized PostgreSQL with migrations.
  • Monitoring Dashboard β€” visualize DB metrics (CPU, query time, etc.).

🧠 Portfolio Project Ideas

  • E-commerce Backend (products, users, orders, payments)
  • Learning Management System (LMS) β€” courses, quizzes, progress tracking
  • Banking API β€” account balances, transfers, and transactions
  • Analytics API β€” leaderboards, KPIs, and dashboards
  • Social Network Backend β€” users, follows, posts, likes

πŸ“ Suggested Repository Structure

sql-backend-roadmap/
β”œβ”€β”€ 01-fundamentals/
β”‚   β”œβ”€β”€ users.sql
β”‚   β”œβ”€β”€ library.sql
β”œβ”€β”€ 02-joins-and-relationships/
β”‚   β”œβ”€β”€ blog.sql
β”‚   β”œβ”€β”€ ecommerce.sql
β”œβ”€β”€ 03-advanced-sql/
β”‚   β”œβ”€β”€ banking.sql
β”‚   β”œβ”€β”€ analytics.sql
β”œβ”€β”€ 04-design-and-normalization/
β”‚   β”œβ”€β”€ school_management.sql
β”‚   β”œβ”€β”€ inventory.sql
β”œβ”€β”€ 05-optimization/
β”‚   β”œβ”€β”€ benchmarks.sql
β”‚   β”œβ”€β”€ query_analysis.sql
β”œβ”€β”€ 06-orms/
β”‚   β”œβ”€β”€ prisma-example/
β”‚   β”œβ”€β”€ typeorm-example/
β”œβ”€β”€ 07-production/
β”‚   β”œβ”€β”€ docker-compose.yml
β”‚   β”œβ”€β”€ migrations/
β”‚   β”œβ”€β”€ monitoring/
└── README.md

🧭 Next Steps

  1. Master SQL fundamentals in both PostgreSQL & MySQL.
  2. Build real schemas and test queries daily.
  3. Integrate SQL into your backend projects.
  4. Optimize, index, and scale like a pro.

🎯 Goal: Become a backend engineer who writes efficient, scalable, and production-ready SQL.

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SQL Developer Roadmap : Backend Specialization

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