Complex problems – simple solutions. GraphDBs and Neo4j for the rescue

by Peter Neubauer 

Thursday, 09 June 2011 14:40

Data complexity is one of the two pain points beside scaling to size that NoSQL databases are trying to address. Domains like Location Based Services, GIS, Master Data Management and recommendations systems, but even your everyday web application face a growing challenge to deal with changing and unstructured datasets.

Peter is introducing Neo4j and will go through a number of example domains and uses of graphs in production systems. Also, we will touch some of the awesome bindings into major software stacks like RAILS, Spring Data and REST.