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Home / News & Events / S-PLUS: Working with Big Data, Part 3

S-PLUS: Working with Big Data, Part 3

Date: Thursday, July 20th
Time: 8:30am-9:30am PDT (11:30-12:30 EDT)
16:30 - 17:30, British Summer Time
5:30pm – 6:30pm MEZ (4:30pm – 5:30pm CET)

Speaker: Peter Shaw, Senior Consultant, Insightful Corporation

Click here to view the archived web cast .

Downloads:

In this series Peter Shaw will spotlight the new suite of S-PLUS Big Data objects and functions now available in S-PLUS Enterprise Developer 7. Users who are new to the Big Data capabilities of S-PLUS will learn how to rapidly apply these methods to their own data sets.  These new functions can be applied both to Big Data and "regular" S-PLUS objects, so users can immediately begin incorporating the functions into their existing scripts and functions.

Part three of this three-part web cast series will

  • Review Big Data objects, graphical and some modeling methods
  • Introduce further graphical and functional methods that will allow you to further customize your analyses, using a case history
  • Review the uniform syntax of the new functions

We will examine common cases where older graphical and modeling scripts have run into difficulties when applied to large data sets, and demonstrate how to convert these scripts to use the new Big Data functions, a portion at a time.

Intended audience: Anyone who uses S-PLUS and wants to learn more.


Peter Shaw, Senior Consultant,
Insightful Corporation

 Peter Shaw holds Bachelors degrees in Physics, and in Earth & Planetary Sciences from MIT, and a Ph.D. in Earth Sciences from the Scripps Institution of Oceanography (UC San Diego).

Dr. Shaw was a member of the Scientific Staff at the Woods Hole Oceanographic Institution and subsequently University of Washington, where he has published more than 20 papers on a wide range of data intensive and applied statistical methods.

He is currently a Senior Consultant at Insightful Corporation where he has helped a number of clients across several industries extract valuable knowledge from their data through data mining methods, and has contributed significantly to the Data Mining training course offered by Insightful.