In today’s data-driven world, relationships matter more than ever. From social networks to fraud detection, recommendation engines to knowledge graphs, traditional databases fall short when it comes to highly connected data. That’s where graph databases excel and Neo4j, the world’s leading native graph database, stands at the forefront. With its powerful property graph model and expressive Cypher query language, Neo4j enables you to explore and extract insights from your data like never before.
Written by a seasoned practitioner with hands-on experience deploying real-world graph systems, this guide goes beyond theory. Every chapter reflects best practices rooted in real projects—from startups to enterprise systems—and is designed for professionals who want more than just academic examples. Whether you're migrating from relational databases, integrating graphs into full-stack apps, or building intelligent systems, this book provides a grounded, practical approach that gets results.
Hands-On Graph Databases with Neo4j is your complete guide to understanding, building, and leveraging graph databases for real-world applications. You'll start with the fundamentals—nodes, relationships, and properties—and quickly advance to querying with Cypher, importing data from CSV, JSON, APIs, and modeling complex use cases like social networks, knowledge graphs, and fraud detection. From data enrichment with APOC procedures to scalable analysis with GDS, and from Neo4j Desktop to Aura and Docker deployments, this book equips you with the full toolkit.
What’s Inside:Mastering Cypher: Writing efficient and expressive graph queries
Data Import: Handling CSVs, JSON, REST APIs, and bulk loaders
Graph Algorithms: Centrality, community detection, similarity, and traversals
Real-World Projects: Build knowledge graphs, social networks, and full-stack apps
Neo4j Integrations: REST APIs, GraphQL, Python, Node.js, and visualization with D3.js & Neovis
Production Guidance: Indexing, scaling, security, backups, and monitoring
Advanced Use Cases: LLM integration, Bloom visualization, and GDS pipelines
This book is for developers, data engineers, architects, and analysts who want to build real-world graph applications with Neo4j. No prior graph experience is required, but basic familiarity with Python or JavaScript and general database concepts will be helpful. Whether you’re coming from SQL, NoSQL, or a completely different background, this book bridges the gap and accelerates your journey into graph data modeling.
In just a few focused sessions, you’ll go from graph novice to confidently building production-grade Neo4j systems. You’ll learn not only how to write Cypher queries but also how to think graph-first—a paradigm shift that transforms how you solve problems and uncover connections. From first node to deployed app, this book respects your time and delivers immediate, actionable knowledge.
Ready to master Neo4j and unlock the full power of connected data? Whether you're building a recommendation engine, visualizing a knowledge graph, or deploying a graph-powered backend, this book gives you everything you need. Grab your copy of Hands-On Graph Databases with Neo4j today and start turning complex data into meaningful insights one relationship at a time.
