Today's complex data is not only big, but also variably structured and densely connected. In this session we'll look at how size, structure and connectedness have converged to transform the data landscape. 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 practical examples drawn from the telecommunications, social media and logistics sectors and implemented using Neo4j, the world's leading graph database.
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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 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).
Twitter: @iansrobinson
Blog: IanSRobinson.com
