Presentation: TweetData Modeling with Graphs and Neo4j

The social graph of Facebook is the most popular application for a graph database. In addition, there are far more exciting applications, such as spatial data, financial trail, indexing, and others. If you combine different graphs, you are able to evaluate those together with the algorithms known from the graph theory. As a graph, a domain can often be easier and more natural designed.

This talk introduces the topic of graph databases and shows how to implement mediated models with large, complex and highly connected data with Neo4j. Subsequently, topics like querying, indexing, import / export, scaling, tools and APIs are considered as well. Finally, we examine the highlights and challenges in the use of technology.

Workshop: Neo4j Training Tweet

This tutorial covers the core functionality of the Neo4j graph database. With a mixture of theory and hands-on practice sessions, attendees will quickly learn how easy it is to develop a Neo4j-backed application.

Topics covered include:

• Introduction to Neo4j
• Overview of Cypher query language
• Data modelling
• Social use cases including recommendations
• Other case studies in real world domains
• Opportunity to consult on current projects, possible implementations and proof of concepts

Attendees won't need any previous experience with Neo4j, NOSQL databases or specific development languages, but will need their own laptop with Neo4j installed.