12. Data processing with Clojure

This chapter covers The map/reduce pattern of data processing Analyzing log files using map/reduce Distributing the data processing Master/slave parallelization

A computer program accepts data that is given, manipulates it in some way, and provides some output. The growing volume of data collected every minute of every day is evidence that data processing is alive in most software today. This chapter is about writing such programs. Naturally, you’ll want to do this in as functional and as Clojure-esque a way as possible.