2009 Session: Big Data and Basic Hadoop Interactive Workshop
monday, - all day
Track: Meanwhile
Hadoop is an open source implementation of Google's Map Reduce and Google File System (GFS), a distributed file system and processing engine. Hadoop is used in industry to store and analyze vast amounts of data on hundreds or thousands of commodity servers. This workshop will introduce Hadoop, discuss the motivations for using Hadoop, and talk about how to use and program Hadoop. Participants will use our training virtual machine to get hands-on experience using and programming with Hadoop.
Prerequisites
basic Java, basic Linux/Unix, basic understanding of systems
Expectations
What is Hadoop, how it works, and how to use it to store and analyze huge amounts of data.
Alex Loddengaard
Alex Loddengaard is part QA engineer, part operations engineer, part
support engineer, and part Hadoop trainer at Cloudera. He spends most of his time
deploying and testing Hadoop. He has also contributed to the open-source Hadoop
project itself. While at the University of Washington, Alex was awarded the Bob Bandes Memorial Award for Excellence
in Teaching his first year as a teacher's assistant (TA), and later grew to become a guest lecturer and head teacher's assistant.