Presentation: TweetA little graph theory for the busy developer

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: Neo4j Tutorial Tweet

Graph databases like Neo4j are a powerful member of the NOSQL family. For highly connected data, Neo4j can be thousands of times faster than relational databases, making it popular for managing complex data across many domains from finance to social, and telecoms to geospatial.

This hands-on workshop 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
• Solutions architecture

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 attendees will 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.