#  IQSS Data Science Sessions at Upcoming JavaOne Conference 

 





September 17, 2014

 

 

     ![javaonelogo](/sites/g/files/omnuum8171/files/styles/hwp_16_9__480x270/public/harvard-iqss/files/javaonelogo.png?itok=w5YAW9Zb) 

 



 

 Six developers from the Data Science team at IQSS will be heading to San Francisco at the end of September to present at the [JavaOne](https://www.oracle.com/javaone/index.html) annual conference. Our six developers will be presenting four sessions that relate to the redesign of Dataverse 4.0 as well as experiences coding with Scala. The sessions are:

- [Lean Beans (Are Made of This): Command Pattern Versus MVC](https://oracleus.activeevents.com/2014/connect/search.ww?eventRef=javaone#loadSearch-event=null&searchPhrase=durbin&searchType=session&tc=0&sortBy=&p=&i(10009)=10111) with [Philip Durbin](/people/philip-durbin) and [Michael Bar-Sinai](/people/michael-bar-sinai)
- [Learning Scala: A Practical Approach](https://oracleus.activeevents.com/2014/connect/search.ww?eventRef=javaone#loadSearch-event=null&searchPhrase=treacy&searchType=session&tc=0&sortBy=&p=&i(10009)=10111) with [Bob Treacy](/people/robert-treacy) and Michael Bar-Sinai
- [Bean Validation: Practical Examples from a Real-World Java EE 7 Application](https://oracleus.activeevents.com/2014/connect/search.ww?eventRef=javaone#loadSearch-event=null&searchPhrase=%22gustavo%20durand%22&searchType=session&tc=0&sortBy=&p=&i(10009)=10111) with [Gustavo Durand](/people/gustavo-durand) and Stephen Kraffmiller
- [When the PrimeFaces Bootstrap Theme Isn’t Enough](https://oracleus.activeevents.com/2014/connect/search.ww?eventRef=javaone#loadSearch-event=null&searchPhrase=heppler&searchType=session&tc=0&sortBy=&p=&i(10009)=10111) with [Michael Heppler](/people/michael-heppler)

 If you are headed to JavaOne make sure to keep these sessions on your radar!

 After JavaOne is over, the slides and any available videos from the presentations will be posted on the Data Science website.

 *Originally posted on the [IQSS Data Science Blog](http://datascience.iq.harvard.edu/blog).*



 

 

 



 

 

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