Course: Computational Techniques for Large-Scale Data Analysis (CSE 491/891)
Abstract
The new millennium has ushered in the era of big data and data-intensive computing. As storage becomes cheaper and computers become more powerful, the need for advanced computing solutions to address large-scale data analysis problems has become increasingly important. This course is intended for senior undergraduate and graduate students who are interested in gaining hands-on experience applying computational techniques to solve large-scale data analysis problems.
Intellectual Merit
This course is intended for senior undergraduate and graduate students who are interested in gaining hands-on experience applying Hadoop to analyze large-scale data.
Broader Impact
Students will have practical experience writing, debugging, compiling, and executing programs that can run on a Hadoop cluster.
Use of FutureGrid
To complete homework assignments and project for Hadoop class.
Scale Of Use
There are currently 44 students enrolled in the class, each will have to run their own Hadoop instance. There will be 2 homework assignments and 1 class project that requires Hadoop.
Futuregrid is a resource provider for