Graph Databases for Developers : Learn Data Modeling, Graph Queries, Relationship Analysis, and Application Development with Connected Data

Your database can store the data. Can it answer the question that actually matters — how is it all connected?

Most developers hit the same wall eventually: the useful answer isn't sitting in one record, it's buried in the relationships between dozens of them. Traditional databases force you to reconstruct those connections every time, in application code, through joins that get slower and messier as the questions get harder.

Graph Databases for Developers is a hands-on, project-driven guide to solving that problem with Neo4j and Cypher. No abstract detours into graph theory — you'll build real graphs, load real datasets, write production-grade queries, and ship features that depend on connected data, from your very first node to a fully deployed, AI-enhanced graph system.

Inside, you'll learn to:

Design graph data models that mirror the actual questions your application needs to answer Write and optimize Cypher — from pattern matching to multi-hop traversals to query-plan tuning Load, validate, and maintain real-world connected datasets without duplicate or broken relationships Connect graphs to production applications through drivers, parameterized queries, and safe transaction handling Secure, monitor, back up, and scale graph systems for real workloads — not just demos Apply graph algorithms — centrality, community detection, similarity, path-finding — with Neo4j's Graph Data Science library Build knowledge graphs and GraphRAG pipelines that combine graph, vector, and keyword retrieval for modern AI applications Complete five full builds: a recommendation platform, a fraud-detection system, an enterprise knowledge graph, a supply-chain platform, and a graph-enhanced AI search engine Built entirely around Neo4j's current 2026 tooling — Cypher 25, Docker and Aura deployments, and the latest Graph Data Science and GraphRAG capabilities — this book reads less like a reference manual and more like a senior developer sitting beside you, walking through the exact decisions and code that turn a connected-data problem into a working product.

If your data's real value lives in its relationships, stop forcing it into rows and columns. Scroll up and grab your copy — and start building applications that see the connections your database already has.