7 New Database Design Books Reshaping the Industry in 2025

What happens when decades of database expertise meet the evolving open-source landscape? Alkin Tezuysal, Ibrar Ahmed, and Peter Zaitsev bring you a clear-eyed guide through PostgreSQL and MySQL, focusing on designing scalable and efficient databases for modern applications. You'll learn how to create schemas, design ER diagrams, apply normalization, and optimize queries, all reinforced with hands-on exercises and real-world case studies. The book also addresses advanced topics like concurrency control, replication, and integration with web and mobile apps, making it a solid choice if you're aiming to master database architectures that keep pace with today's technology trends.

When Michael E Kirshteyn Ph.D explores Third Normal Form (3NF), he brings clarity to a topic often clouded by jargon. This book walks you through the normalization process, starting from the basics of relational databases to the stepwise journey through 1NF and 2NF, culminating in a deep dive into 3NF principles. You'll learn practical skills like identifying entities and attributes and how to apply normalization to maintain data integrity and simplify database maintenance. The inclusion of real-world case studies helps you see how 3NF works beyond theory. If you are aiming to build robust and scalable relational databases, this guide will sharpen your foundational understanding and practical approach.

This tailored book explores the forefront of database design as it evolves in 2025, focusing closely on the newest developments and discoveries reshaping the field. It examines emerging trends such as cloud integration, NoSQL schema innovations, and advanced normalization techniques, all crafted to align with your background and interests. By tailoring content specifically to your goals and skill level, it reveals how these fresh insights can be understood and applied effectively. Readers gain a deeply personalized learning experience that highlights cutting-edge design principles, performance considerations, and scalability challenges, ensuring the material directly addresses what you want to explore about modern database architectures and design practices.

Apollo Sage brings a fresh perspective to database design in this concise guide, emphasizing core principles and normalization techniques essential for building efficient, maintainable databases. You’ll learn how to organize data structures to optimize performance, supported by real-world examples that clarify complex concepts like normalization and best practices for data retrieval. The book is tailored for both newcomers and experienced developers looking to refine their skills, making it clear how foundational design choices impact overall system efficiency. If you want practical insights without unnecessary jargon, this book provides a focused pathway to mastering database architecture.

The breakthrough moment came when Abirami Sukumaran, leveraging her deep expertise in cloud computing and Google Cloud services, crafted an insightful guide that bridges traditional database design and modern cloud applications. You learn how to navigate the complexities of structured, semi-structured, and unstructured data models, with real-world examples covering Cloud SQL, Spanner, BigQuery, and Firestore. Chapters on operational considerations and AI integration, such as using Vertex AI APIs, showcase how to evolve your database designs for analytics and machine learning workloads. If you’re involved in data engineering or database architecture, this book offers a direct line to mastering cloud-centric database solutions without fluff or jargon.

Shaun Broyhill’s experience with Oracle databases shines through in this focused primer, crafted for anyone eager to grasp the nuts and bolts of Oracle's ecosystem. You’ll learn how to design databases that balance structure and performance, starting with essentials like tables and data types, and moving into programming techniques such as procedures and packages. The book dedicates considerable attention to performance tuning, including indexing and query optimization, making it a solid pick for developers who want to understand both creation and maintenance. If you’re aiming to build efficient, scalable Oracle databases or deepen your technical toolkit, this book offers clear, example-driven guidance without unnecessary complexity.

This personalized book explores the latest advances shaping database design as we approach 2025. It examines emerging trends, new architectural patterns, and novel approaches to scalability and performance that match your specific interests and background. By focusing on the developments most relevant to you, it reveals how to future-proof your databases, incorporating cutting-edge discoveries and techniques. The tailored content offers a deep dive into evolving database paradigms, cloud integration, NoSQL innovations, and the challenges of modern data management, providing a customized roadmap to stay ahead in this rapidly changing field.

When Sharon Agnes first realized the growing need for accessible database tools, she developed this guide to demystify Microsoft Access 365 for users at every level. You’ll learn how to structure relational databases, design tables and relationships, write queries, and create forms and reports tailored to your needs. The book balances foundational concepts with practical application, including importing/exporting data and optimizing workflows. Whether you’re managing projects, supporting business data, or studying database design, this guide equips you to harness Access efficiently without prior formal training.

After analyzing numerous data modeling challenges in NoSQL environments, Daniel Coupal developed a methodology that redefines schema design specifically for MongoDB. This book guides you through the Align, Refine, and Design approach, transforming conceptual, logical, and physical modeling into practical steps tailored for document-oriented databases. You’ll gain clarity on aligning business vocabulary, refining essential requirements, and designing schemas that leverage MongoDB’s unique capabilities, exemplified by a detailed animal shelter case study. If your work involves MongoDB schema design or expanding data modeling skills beyond traditional relational databases, this book offers focused insights to elevate your technical understanding.