Graph Databases 1st Edition

Unlock the power of connected data with Graph Databases (1st Edition) — a practical, modern guide for developers, data architects, and business leaders who want to turn relationships into insight.

Packed with clear explanations and real-world examples, this edition introduces the fundamentals of graph data modeling, property graphs and RDF, and the query languages that make relationship-focused analysis possible — from Cypher and Gremlin to SPARQL. Learn how to design intuitive schemas, traverse complex networks efficiently, and apply indexing and performance techniques that scale for enterprise workloads.

Whether you’re building recommendation engines, fraud detection systems, knowledge graphs, or network analytics, this book translates theory into actionable patterns. Case studies and design patterns show how companies in finance, healthcare, e-commerce, and telecommunications use graph technology to reveal hidden connections and accelerate decision-making. Practical chapters walk you through migration strategies, integration with existing SQL and NoSQL systems, and best practices for deployment in cloud and on-premises environments.

Ideal for readers in tech hubs from New York and London to Bangalore and Berlin, Graph Databases (1st Edition) delivers global relevance with local application. If you’re a software engineer, data scientist, or product manager seeking faster queries, richer search, and smarter recommendations, this book is a hands-on roadmap to mastering graph-driven solutions.

Ready to connect your data like never before? Add Graph Databases (1st Edition) to your library and start transforming relationships into results.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.