The Tessera computational environment is powered by a statistical approach, Divide and Recombine. At the front end, the analyst programs in R. At the back end is a distributed parallel computational environment such as Hadoop. In between are three Tessera packages: datadr, Trelliscope, and RHIPE. These packages enable the data scientist to communicate with the back end with simple R commands.

http://tessera.io/

Seminar Information

  • Speaker: Barret Schloerke
  • Date: Thursday, April 7, 2016
  • Time: 4:30 pm - 5:20 pm
  • Location: Math Library Lounge

Slides

Slides can be viewed online.