This practical guide shows you how to harness Spark's power for approaching a variety of analytics problems. You'll learn how to apply common techniques, such as classification, clustering, collaborative filtering, anomaly detection, dimensionality reduction, and Monte Carlo simulation to fields such as genomics, security, and finance.