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In this talk I’ll discuss techniques I have learned for working with large data sets, which are too large to fit in RAM, but not so large you need distributed computing to work with them. I’ll discuss things like: taking random samples; finding duplicated values as well as other types of basic analysis.

Though not specific to Clojure, many of the techniques lead to elegant, easy to understand implementations in Clojure by leveraging it’s sequence abstraction as well as other aspects of the language.