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| Session Details | |
 Session ID: |
TS-5082 |
| Session Title: |
Matchmaking in the Cloud: Hadoop and EC2 at eHarmony |
| Session Abstract: |
With the emergence of pay-as-you-go cloud computing and open-source map/reduce frameworks, the doors have opened for anyone to take on problems that require hundreds of concurrent CPUs crunching terabytes of data. This session is a case study of how the cloud is used at online matchmaking company eHarmony. It looks at how Amazon's Web services and Apache Hadoop enable predictive modeling algorithms to be applied on a large scale at low cost and what problems Java™ technology developers must be ready to handle when approaching cloud computing. The session is for developers interested in the practical application of cloud computing and map/reduce. Key takeaway points: • A view of how Hadoop and Amazon Web services can be used to solve large-scale data-intensive problems in the real world • How a cloud computing solution differs from a traditional Java Platform, Enterprise Edition (Java EE platform) technology-based application; what problems you can expect to solve or not to solve with this approach • Techniques and frameworks that make the developer's life easier when developing with Hadoop |
| Track: |
Cool Stuff; Services Web 2.0 Scheduling Track; Services: Web 2.0, Next Generation Web, and Cloud Services Platform |
| Duration: |
60 |
| Speaker(s): |
Steve Kuo, eHarmony; Joshua Tuberville, eHarmony, Inc. |