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Talk
Graph Search: The Power of Connected Data
Ian works on research and development for future versions of the Neo4j graph database. Harbouring a long-held interest in connected data, he was for many years one of the foremost proponents of REST architectures, before turning his focus from the Web's global graph to the realm of graph databases. As Neo Technology’s Director of Customer Success, he has worked extensively with customers to design and develop graph database solutions. He is a coauthor of 'Graph Databases' and 'REST in Practice' (O'Reilly), and a contributor to 'REST: From Research to Practice' (Springer) and 'Service Design Patterns' (Addison-Wesley). He blogs athttp://iansrobinson.com, and tweets at @iansrobinson.
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Abstract
Today’s complex data is big, variably-structured and densely connected. In this session we’ll look at how size, structure and connectedness have converged to change the way we work with data. We’ll then go on to look at some of the new opportunities for creating end-user value that have emerged in a world of connected data, illustrated with graph search examples implemented using the Neo4j graph database.
Slide
