Introduction to YARN

Abstract: Apache Hadoop 2 includes a new MapReduce engine, which has a number of advantages over the previous implementation, including better scalability and resource utilization. The new implementation is built on a general resource management system for running distributed applications called YARN. In this talk Tom will walk through the new architecture and compare and contrast MapReduce 2 running on YARN with the architecture of MapReduce 1.

Speaker: Tom White is one of the foremost experts on Hadoop. He has been an Apache Hadoop committer since February 2007, and is a Member of the Apache Software Foundation. Tom is a software engineer at Cloudera, where he has worked, since its foundation, on the core distributions from Apache and Cloudera. Previously he was an independent Hadoop consultant, working with companies to set up, use, and extend Hadoop. He has written numerous articles for O'Reilly, java.net (http://java.net/) and IBM's developerWorks, and has spoken at many conferences, including ApacheCon and OSCON. Tom has a B.A. in mathematics from the University of Cambridge and an M.A. in philosophy of science from the University of Leeds, UK.

Parking: There are two options to pay for parking in the adjacent Anderson ramp. You can either enter/exit with a credit card, or you can take a ticket and use the pay kiosk on the northeast corner of the ramp to get an exit ticket.

Food: Pizza and drinks, first come first serve, starting at 6:30PM provided by the University of St. Thomas, Graduate Programs in Software, Center of Excellence for Big Data (CoE4BD)

Map: http://bit.ly/RCtaTI