JavaScript (Node.js) and Databases: A Practical Guide
JavaScript (Node.js) and Databases: A Practical Guide
Summary:
This book is a practical guide to integrating Node.js with modern databases. You will learn how to design data schemas, write efficient queries, and build scalable backend systems.
Who is this book for?
- Developers learning Node.js who want to master working with databases
- Junior and Middle developers who want to deepen their knowledge of SQL and NoSQL
- Fullstack engineers striving to build reliable server-side applications
- Anyone who wants to move from simple CRUD operations to advanced data handling techniques
What you will learn:
- Fundamentals of working with relational databases (SQLite, PostgreSQL) via drivers and the Sequelize ORM
- NoSQL flexibility: MongoDB and Mongoose for document-oriented data
- Creating complex queries: JOIN, aggregation, indexes, and performance optimization
- Transactions, connection pools, migrations, and error handling in a production environment
- Designing data schemas for real-world projects (online store, blog, chat)
- Practical examples: from a local prototype to server deployment
Book structure:
- Chapters 1-3: Introduction to Node.js and environment setup, SQL and NoSQL basics
- Chapters 4-6: Working with SQLite and PostgreSQL — CRUD, transactions, migrations
- Chapters 7-9: MongoDB — schemas, aggregation, indexes, and geo-queries
- Chapters 10-12: Sequelize and Mongoose ORMs — advanced techniques, validation, relationships
- Chapters 13-15: Performance, caching, security, and deployment
Each chapter contains ready-to-run code examples. You will gain not only theory but also practical skills for working with real projects. The book is written in accessible language with a focus on modern best practices.
It is ideally suited both for self-study and for use as a reference. After reading, you will be able to confidently design databases and write high-performance code in Node.js.
Note: the book is aimed at readers familiar with JavaScript basics. Knowledge of SQL or NoSQL is not required — all concepts are explained from scratch.