Monday 1st October, 2012
10:20am to 11:10am
In this talk we'll take a broad look at NOSQL databases, including motivating similarities and more importantly their different strengths and weaknesses. In more depth, we'll focus on the characteristics of graph databases for managing connected data and the kinds of problem domains for which they are best suited. To reinforce how useful graph databases are, we provide a rapid, code-focussed example using Neo4j covering the APIs for manipulating and traversing graphs. We'll then use this knowledge to explore the Doctor Who universe, using graph databases to infer useful knowledge from connected, semi-structured data. We conclude with a discussion of when different kinds of NOSQL stores are most appropriate.
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