This document summarizes a student's Big Data project using MapReduce (Hadoop) and Spark that analyzes log data. It describes implementations of three approaches (pair, stripe, hybrid) to predict event co-occurrence relationships. It also describes using Spark and Scala to analyze web server log files to find top products, categories, and client IPs. Pseudocode and results are shown for each technique.