7 New Data Modeling Books Reshaping the Industry in 2025

What happens when deep financial domain expertise meets data modeling? Claire Frankel offers detailed conceptual and logical data models tailored for banking, finance, and insurance sectors. You’ll gain insight into designing databases for products like mortgages, credit cards, equities, and insurance policies, plus how to translate these models into physical designs optimized for analytics, including star schemas. This book suits business specialists, analysts, regulators, and IT professionals who need a practical roadmap for building foundational financial data systems. Its focused approach helps you move beyond generic modeling to solutions that fit complex financial workflows and regulatory demands.

Pascal Desmarets, renowned for pioneering polyglot data modeling and leading Hackolade, brings a fresh lens to the evolving intersection of relational and document databases. This book introduces the innovative concept of JSON-Relational Duality, guiding you through aligning business vocabulary, refining requirements, and designing schemas tailored to Oracle Database 23ai's capabilities. You’ll navigate conceptual to physical modeling layers and understand how to merge the strengths of JSON and relational paradigms, enhancing your ability to architect versatile database solutions. If you’re involved in data architecture or database development and eager to expand beyond traditional models, this text provides concrete frameworks and insights specific to Oracle’s latest advancements.

This tailored book explores the dynamic landscape of data modeling as it stands in 2025, focusing on the latest developments and emerging insights that are shaping this evolving discipline. It examines new data structures, innovative modeling techniques, and the integration of cutting-edge technologies, all aligned with your unique background and goals. By concentrating precisely on your interests, it reveals how these breakthroughs impact real-world applications and data ecosystems. The personalized content ensures that you engage deeply with the most relevant trends and discoveries, fostering a richer understanding of how data modeling continues to transform in response to growing complexity and novel demands.

Drawing from their combined expertise in database administration and software development, the authors delve into the practicalities of designing efficient databases with PostgreSQL and MySQL. You’ll learn how to construct schemas, create entity-relationship diagrams, and apply normalization techniques, progressing to advanced concepts like concurrency control, sharding, and transaction management. The book also covers integrating these databases with modern web and mobile applications, reflecting emerging trends such as NoSQL and cloud-based solutions. This makes it particularly useful if you’re a developer or IT professional wanting to master scalable, real-world database architectures without needing prior deep experience in these specific platforms.

Markus Ehrenmueller-Jensen leverages his extensive experience in data engineering and business intelligence to address a critical gap in Power BI usage: effective data modeling. This book guides you through foundational and advanced techniques using Power BI, Analysis Services tabular models, and SQL databases, with concrete examples in DAX, Power Query, and T-SQL. You'll learn to handle normalization, dimensional modeling, and performance optimization, including practical challenges like slowly changing dimensions and composite models. Whether you're building a data warehouse layer or refining existing models, the text offers clear, incremental steps that deepen your understanding and sharpen your skills.

What started as a way to simplify complex database design became a fresh perspective on schema development tailored for MarkLogic users. Steve Hoberman and his co-authors draw on decades of experience to introduce the Align > Refine > Design framework, which redefines traditional conceptual, logical, and physical modeling stages with practical clarity. You’ll learn how to establish a common business vocabulary, capture essential requirements, and then tailor your schema designs to specific software and hardware nuances. The book’s animal shelter case study grounds these concepts in reality, making it easier for you to apply the approach to your own projects. If you work with MarkLogic or want to deepen your schema design skills, this book offers a structured path without overcomplication.

This tailored book explores the evolving landscape of data modeling as it stands in 2025, focusing on how emerging technologies transform conventional approaches. It examines the latest developments—from advances in NoSQL and spatial databases to dynamic schema design—providing a personalized guide that matches your background and specific goals. By concentrating on your interests, this book reveals how to future-proof data models against upcoming challenges and innovations, making complex concepts accessible and relevant. Through a focused lens, it uncovers insights about adapting models for agility, scalability, and novel data types, offering a unique, tailored journey into the forefront of data modeling advancements.

Michael E Kirshteyn Ph.D approaches spatial data modeling with a depth born from his academic rigor and practical insights into geographic information systems. You’ll learn how spatial data types and indexing methods work within modern databases, supported by detailed case studies spanning urban planning to precision agriculture. The chapters on data integration and real-time data challenges offer concrete techniques for handling complex, heterogeneous datasets. If your work involves GIS or any spatially-referenced data, this book equips you with the frameworks to represent and analyze spatial information effectively.

After analyzing numerous data modeling challenges specific to DynamoDB, Pascal Desmarets and Steve Hoberman developed a methodical approach that redefines schema design for this NoSQL platform. Their Align > Refine > Design framework guides you from establishing a shared business vocabulary to capturing precise requirements and then crafting database-specific physical designs. For example, the book walks you through modeling perspectives ranging from conceptual to physical with a practical animal shelter case study illustrating each step. If you're a data professional aiming to deepen your DynamoDB expertise or a technologist seeking refined schema design skills, this book provides structured insights tailored to your needs.