CSULA Business Intelligence on Map/Reduce
Project Information
- Discipline
- Economics (903)
- Subdiscipline
- 52.06 Business/Managerial Economics
- Orientation
- Research
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 MeritExisting 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 ImpactsThe 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)
Mainly will use Map/Reduce on Hadoop for business intelligence
Scale of Usea few VMs for an experiment
Project Timeline
- Submitted
- 05/18/2011 - 23:50