University of Washington: Problem Solving on Large Scale Clusters

The University of Washington ran an upper-division course on Distributed Computing with MapReduce in Spring 2007. Below you'll find the materials that were used for the class: five lectures in powerpoint format, as well as four lab exercises designed which were completed by students over the duration of the course, using a cluster running Hadoop.

Lectures

• Lecture 1 - Introduction & Parallelization
• Lecture 2 - MapReduce: Theory and Implementation
• Lecture 3 - Networks and Distributed Systems
• Lecture 4 - Distributed File Systems
• Lecture 5 - Other Distributed Systems

Labs

• Lab 1 - Introduction to MapReduce
• Lab 2 - A Simple Inverted Index
• Lab 3 - PageRank on the Wikipedia Corpus
• Lab 4 - Clustering the Netflix Movie Data