Overview

What if your data's most valuable insights aren't in the rows and columns, but in the connections between them? Practical Graph Analytics with Neo4j is your hands-on guide to unlocking the real power of graph technology, showing you how to model, query, and analyze connected data to solve problems traditional databases struggle with. From fraud detection and recommendation engines to customer 360 profiles and AI-powered GraphRAG systems, this book walks you step-by-step through building graph solutions that deliver real business impact. Instead of drowning you in theory, this book focuses on practical implementation. You'll learn how to design effective graph data models, write powerful Cypher queries, apply graph analytics, and integrate graph insights into modern applications and AI workflows. Each chapter builds your skills through realistic projects, architecture walkthroughs, and production-ready patterns. By the end of this book, you'll be able to: Model complex, relationship-rich domains with confidence Write efficient Cypher queries that reveal hidden patterns Use graph analytics to uncover risk, influence, similarity, and behavior Build intelligent systems like fraud detection platforms and real-time recommenders Power advanced AI applications using GraphRAG and connected context What makes this book different is its end-to-end journey: you won't just learn graph theory-you'll learn how to move from prototype to production, turning graph insights into operational systems that scale. Whether you're a developer, data engineer, data scientist, or AI builder, Practical Graph Analytics with Neo4j gives you the tools, mindset, and real-world blueprints to work with connected data like a pro. If you're ready to stop treating data as isolated records and start seeing the world as a network of meaningful relationships, this book is your roadmap. Dive in and start building smarter, more connected systems today.

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