Database Systems Mastery Road map

Welcome to your Database Systems Mastery journey. This roadmap is designed like a senior engineer mentoring you from fundamentals to modern, planet-scale databases.

Use this vault in Obsidian:

• Treat each section as a module.
• Use checkboxes [ ] / [x] to track progress.
• Follow links to dive deeper into each topic.

🌳 High-Level Tree

1. Fundamentals
2. Relational Databases (RDBMS)
3. NoSQL Ecosystem
4. Big Data & Analytics
5. Cloud Databases
6. Database Internals
7. Data Modeling & Architecture
8. Modern Distributed Databases

✅ Learning Checklist (Bird’s‑Eye View)

• 01 - Fundamentals – Core concepts every engineer must know
• 02 - RDBMS – Relational theory, SQL engines, and major vendors
• 03 - NoSQL – When and why to go beyond relational
• 04 - Big Data – Large-scale analytics and processing engines
• 05 - Cloud Databases – Managed services and cloud-native patterns
• 06 - Internals – Under-the-hood mechanics of DB engines
• 07 - Data Modeling – Designing robust schemas and architectures
• 08 - Modern Databases – New-gen distributed SQL and globally consistent systems

📚 How to Use This Roadmap

• Start with 01 - Fundamentals and do not rush. These concepts appear everywhere.
• After fundamentals, move to 02 - RDBMS and 03 - NoSQL to understand trade-offs.
• Use 06 - Internals and 08 - Modern Databases once you’re comfortable with basics.
• Revisit 07 - Data Modeling often – good modeling is what separates juniors from seniors.

When in doubt, come back to this page as your home base.