Graph Databases with Neo4j: Visualizing Graphs and Leveraging Binary Protocol for Efficient Database Interaction - Softcover

Vale, Ethan

Softcover

ISBN 13: 9798294315283

Publisher: Independently published, 2025

Synopsis

Can you imagine a world where complex data relationships are not a challenge but a superpower? In today’s interconnected landscape, from social networks to supply chains, the ability to model, query, and analyze relationships is transforming industries. This is your definitive guide to mastering Neo4j, the world’s leading graph database. This book empowers developers, data scientists, AI engineers, and architects to build robust, scalable graph-based solutions that turn intricate data connections into actionable insights.
This comprehensive resource, explores Neo4j’s native graph architecture and its high-performance Bolt protocol, offering practical, production-ready techniques for creating applications like recommendation engines, fraud detection systems, knowledge graphs, and network analytics platforms. Through a recurring movie recommendation system example, This book walks you through every step of the process from modeling interconnected data to deploying secure, high-availability systems. Drawing from real-world projects, such as optimizing a social network graph to handle millions of queries or securing sensitive financial data, Vale shares hard-earned lessons to ensure you avoid common pitfalls and achieve success.
The book’s strength lies in its balance of theoretical depth and hands-on practice. You’ll learn how Neo4j’s graph model outperforms traditional relational databases for relationship-heavy workloads, leveraging its native storage and traversal capabilities. The Bolt protocol, Neo4j’s binary communication layer, is explored in detail, showing how it minimizes latency and maximizes throughput for efficient database interactions. Whether you’re importing massive datasets, securing access with role-based controls, or scaling for global traffic, this book provides clear, actionable guidance backed by production-grade code and performance tuning strategies.
Readers will benefit from:

• Production-Ready Code: Full, working examples in Cypher, Python, and configuration files, tested in real-world scenarios, enable you to implement solutions immediately.
• Performance Optimization: Techniques for indexing, query tuning, and resource allocation, like allocating 70% of server memory to the page cache, ensure your graphs perform at scale.
• Real-World Insights: Lessons from Vale’s projects, such as recovering from a misconfigured cluster or catching a brute-force attack, prepare you for production challenges.
• Comprehensive Coverage: From data modeling to Graph Data Science (GDS) algorithms like PageRank and Louvain, the book covers the full Neo4j ecosystem, making it a one-stop resource.

Whether you’re a developer building your first graph application, a data scientist analyzing networks, or an architect designing enterprise systems, this book equips you to tackle real-world problems with confidence.
Why choose Neo4j?
Graph databases excel at revealing hidden patterns in interconnected data, from personalized recommendations to fraud rings. Neo4j’s flexibility, combined with its powerful tools like GDS and AuraDB, makes it the go-to choice for modern data challenges. This book not only teaches you how to use Neo4j but also how to think in graphs, transforming your approach to data. Its focus on production deployment, security, and performance ensures your solutions are not just prototypes but enterprise-ready systems.
Don’t let complex data relationships hold you back. Whether you’re enhancing user experiences, detecting anomalies, or building knowledge bases, Graph Databases with Neo4j is your roadmap to success. With its clear explanations, vivid examples, and expert insights, this book is an essential resource for anyone serious about graph technology. Grab your copy today and start building smarter, faster, and more secure graph solutions that turn data into your competitive advantage!

Edition details

• Publisher: Independently published
• Publication date: 2025
• Language: English
• ISBN 13: 9798294315283
• Binding: Paperback
• Number of pages: 233