CSULA Business Intelligence on Map/Reduce

Project Information

Discipline
Economics (903) 
Subdiscipline
52.06 Business/Managerial Economics 
Orientation
Research 
Abstract

As web site has a log file that is tera- or peta-bytes as well as other business data, the legacy algorithm is not good enough to analyze such a huge amount of data. In the project, Business Intelligence algorithm, for example, Market Basket Analysis and Customer Analysis should be designed to Map/Reduce algorithm and executed on FutureGrid Hadoop platform.

Intellectual Merit

Existing business intelligence algorithms are not proper for big data. If their Map/reduce algorithms are implemented, the big data will be analyzed in high-performance.

Broader Impacts

The developed algorithms will be published so that the people can share the knowledge and use them for their needs.

Project Contact

Project Lead
Jongwook Woo (dalgual) 
Project Manager
Jongwook Woo (dalgual) 

Resource Requirements

Hardware Systems
  • Not sure
  • I don't care (what I really need is a software environment and I don't care where it runs)
 
Use of FutureGrid

Mainly will use Map/Reduce on Hadoop for business intelligence

Scale of Use

a few VMs for an experiment

Project Timeline

Submitted
05/18/2011 - 23:50 
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