Database Design and Modeling with PostgreSQL and MySQL: Build efficient and scalable databases for modern applications using open source databases

Alkin Tezuysal, Ibrar Ahmed

Become well-versed with database modeling and SQL optimization, and gain a deep understanding of transactional systems through practical examples and exercises

Key Features
Get to grips with fundamental-to-advanced database design and modeling concepts with PostgreSQL and MySQL
Explore database integration with web apps, emerging trends, and real-world case studies
Leverage practical examples and hands-on exercises to reinforce learning

Book Description
Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.

As you progress through the chapters, you’ll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You’ll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you’ll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you’re well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you’ll be prepared to adapt and innovate in today’s ever-evolving digital world.

By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.

Who this book is for
This book is for a wide range of professionals interested in expanding their knowledge and skills in database design and modeling with PostgreSQL and MySQL. This includes software developers, database administrators, data analysts, IT professionals, and students. …