GOTO is a vendor independent international software development conference with more that 90 top speaker and 1300 attendees. The conference cover topics such as .Net, Java, Open Source, Agile, Architecture and Design, Web, Cloud, New Languages and Processes

Jim Webber, Chief Scientist at Neo Technology and Co-Author of "REST in Practice"

Jim Webber

Biography: Jim Webber

Dr. Jim Webber is Chief Scientist with Neo Technology the company behind the popular open source graph database Neo4j, where he works on graph database server technology and writes open source software. Jim loves graph data and is a keen student of graph theory and hacks on distributed systems. He's a co-author on the book REST in Practice, having previously written Developing Enterprise Web Services - An Architect's Guide. Jim is an active speaker, presenting regularly around the world.

Jim's blog and twitter

Presentation: A little graph theory for the busy developer

Time: Tuesday 12:10 - 13:00 / Location: Walton South

In this talk we'll explore powerful analytic techniques for graph data. Firstly we'll discover some of the innate properties of (social) graphs from fields like anthropology and sociology. By understanding the forces and tensions within the graph structure and applying some graph theory, we'll be able to predict how the graph will evolve over time. To test just how powerful and accurate graph theory is, we'll also be able to (retrospectively) predict World War 1 based on a social graph and a few simple mechanical rules.

Then we'll see how graph matching can be used to extract online business intelligence (for powerful retail recommendations). In turn we'll apply these powerful techniques to modelling domains in Neo4j (a graph database) and show how Neo4j can be used to drive business intelligence.

Don't worry, there won't be much maths :-)

Training: Intro to Neo4J

Time: Thursday 09:00 - 16:00 / Location: Training 1

Graph databases are a 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.

The tutorial covers the core functionality from the Neo4j graph database, providing a mixture of theory and accompanying practical sessions to demonstrate the capabilities of graph data and the Neo4j database. Specifically attendees will learn about:

- NoSQL and Graph Database overview
- Neo4j Fundamentals and Architecture
- The Neo4j Core API
- Indexing
- Neo4j Traverser APIs
- Declarative querying with Cypher 
- Graph algorithms
- Solutions architecture: using Neo4j in large systems

Each session (apart from the fundamentals and architecture) will be a mixture 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 parts of the tutorial consist of Koan-style lessons where a specific aspect of the Neo4j stack is presented as a set of failing unit tests which participants will work to fix, gradually becoming more challenging until the attendees are capable of implementing sophisticated graph operations against Neo4j.

Attendees won't need any previous experience with Neo4j or NOSQL databases, but will require some fluency in Java, a little familiarity with a modern IDE, and a basic understanding of JUnit to help complete the lab tasks.

Attendees will need to bring a laptop with their Java IDE of choice installed