Overview

Neo4j Mastery is a comprehensive, future-focused guide for developers, data engineers, analysts, and architects who want to harness the full potential of graph databases to build smarter, faster, and more connected applications. Written by Zhao Colton, this book provides a practical and deeply insightful approach to graph data modeling, Cypher query optimization, knowledge-graph design, graph analytics, real-time recommendations, and enterprise-scale graph solutions. Neo4j continues to lead the industry as organizations demand high-performance data relationships, intelligent search, and AI-ready graph infrastructures. This book equips you with the skills to implement modern graph architectures, integrate Neo4j into complex systems, and leverage its advanced tools to uncover insights impossible to detect with traditional relational databases. Inside, you'll explore: Core Neo4j Fundamentals Understand the architecture of Neo4j, how graph databases differ from SQL systems, and why relationships matter in modern applications. Cypher Query Language in Depth Master pattern matching, filtering, aggregations, traversals, indexing, and performance tuning using Cypher to build powerful, efficient queries. Graph Data Modeling Learn how to design flexible, scalable graph schemas for complex domains such as social networks, fraud detection, logistics, cybersecurity, and recommendation engines. Graph Algorithms and Analytics Use advanced Neo4j tools to run PageRank, community detection, similarity scoring, centrality analysis, and pathfinding to uncover hidden patterns and intelligence. Knowledge Graphs & AI Integration Build semantic knowledge structures and integrate graph data with machine learning pipelines, embeddings, and AI-driven reasoning systems. Real-World Graph Projects Step-by-step implementations including recommendation systems, fraud analysis, supply chain optimization, customer behavior mapping, and network monitoring. Performance, Scaling & Best Practices Techniques for clustering, indexing strategies, memory optimization, ETL pipelines, API integration, and securing Neo4j for production environments. Whether you're designing microservices, building AI-enhanced graph applications, optimizing enterprise data workflows, or learning how connected data transforms business intelligence, this book provides everything you need to become an expert Neo4j practitioner. Perfect for beginners looking to start strong and professionals who want to expand into advanced graph engineering. Unlock the power of connected data and transform the way you structure information-with Neo4j, the world's leading graph database platform.

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