Albert Barreto - Data Sciences
You may recall the recent Capstone Report by Chiefs Doucet, Dontchev, Burden, and Skoff, advised by Professor Gondree and Nguyen; Big Data Analytics Test Bed. They built a VMware SERENGETI cluster which performed quite well. Their system was a traditional server cluster rather than a blade, but showed that a hypervisor based cluster would work, and work well.
A new product, VMware Big Data Extensions is showing even more promise and gives performance on par with traditional standalone installations, and supports the familiar tools and services common to distributions by Apache HADOOP, Cloudera, Pivotal, Hortonworks, and MapR. Pig, Hive, and HBase are also supported allowing a single cluster to support multiple distributions.
In addition to being able to provide the platform and create and support classes and labs, Professor Kamel has interest in certificates, short courses, and ultimately a degree in Data Science. I have supported him in labs in the past in data base and web courses, and we have discussed such collaboration in Big Data as well. This makes good use of our facilities and our faculty in IS.