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Ian Robinson, Author of "REST in Practice", Neo Technology

Ian Robinson

Biography: Ian Robinson

Ian Robinson is Director of Customer Success for Neo Technology, the company behind Neo4j, the world's leading open source graph database. He is a co-author of 'REST in Practice' (O'Reilly) and a contributor to the forthcoming 'REST: From Research to Practice' (Springer) and 'Service Design Patterns' (Addison-Wesley). He presents at conferences worldwide on the big Web graph of REST, and the awesome graph capabilities of Neo4j, and blogs at

Twitter: @iansrobinson
Video presentations: The Counterintuitive Web, RESTful Enterprise Development, Beginning an SOA Initiative

Workshop: Neo4j Tutorial

Track: Training: Back End Development / Time: Saturday 09:00 - 16:00 / Location: St. John's Room I

Graph databases like Neo4j are an esoteric and powerful member of the NOSQL family. For highly connected data, graph databases can be thousands of times faster than relational databases, making Neo4j popular for managing complex data across many domains from finance to social, and telecoms to geospatial. This intensive one-day Neo4J tutorial provides a mixture of theory and hands-on practical sessions to demonstrate the capabilities of graph data and the Neo4j database.

Learn how to:

  • NOSQL and Graph Database overview
  • Neo4j Fundamentals and Architecture
  • The Neo4j tool chain
  • The Neo4j Core API
  • Indexing
  • Neo4j Traverser API and declarative querying
  • Graph algorithms
  • Pattern matching
  • Alternative Language Bindings
  • The Neo4j REST API and using the database from non-JVM platforms
  • Spring Data Graph
  • Solutions architecture: using Neo4j in large systems


Each session of this Neo4J Tutorial (apart from the fundamentals and architecture) consist of a small amount of theory combined with a set of practical exercises designed to reinforce how to achieve sophisticated goals with Neo4j. The practical aspects of this Neo4J course consist of Koan-style lessons where a specific part of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix. Those exercises gradually become more challenging until you are capable of implementing sophisticated graph operations with Neo4j.