Neo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects. Using hands-on examples, you'll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Much of the data today is highly connected-from social networks to supply chains to software dependency management-and more connections are continually being uncovered. Neo4j is an ideal graph database tool for highly connected data. It is mature, production-ready, and unique in enabling developers to simply and efficiently model and query connected data.
About the Book
Neo4j in Action is a comprehensive guide to designing, implementing, and querying graph data using Neo4j. Using hands-on examples, you'll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying. It also covers Cypher, Neo4j's graph query language. Along the way, you'll learn how to integrate Neo4j into your domain-driven app using Spring Data Neo4j, as well as how to use Neo4j in standalone server or embedded modes.
Knowledge of Java basics is required. No prior experience with graph data or Neo4j is assumed.
- Graph database patterns
- How to model data in social networks
- How to use Neo4j in your Java applications
- How to configure and set up Neo4j
About the Authors
Aleksa Vukotic is an architect specializing in graph data models. Nicki Watt, Dominic Fox, Tareq Abedrabbo, and Jonas Partner work at OpenCredo, a Neo Technology partner, and have been involved in many projects using Neo4j.
Table of Contents
- A case for a Neo4j database
- Data modeling in Neo4j
- Starting development with Neo4j
- The power of traversals
- Indexing the data
- Cypher: Neo4j query language
- Traversals in depth
- Spring Data Neo4j
- Neo4j: embedded versus server mode