Big data research with Hadoop and Spark focus of Purdue, National Science Foundation workshop May 18-19

May 18, 2017  11:00am – May 19, 2017  5:00pm
Envision Center (STEW B001)

Purdue will host a free two-day big data workshop focusing on Hadoop and Spark on Thursday, May 18, and Friday, May 19, for faculty, staff and students looking to learn more about tools for working with large sets of data.

The workshop will take place from 11 a.m. to 5 p.m. both days in the Envision Center, Stewart Center, Room B001-D, which is located off the tunnel between the Stewart Center and the Purdue Memorial Union. Space is limited to 25 participants so those wishing to attend should register soon. There is no cost to register. The event is sponsored by ITaP and the National Science Foundation Extreme Science and Engineering Discovery Environment (XSEDE), as well as the Pittsburgh Supercomputing Center.

Participants register with XSEDE, in which Purdue is a partner. A free XSEDE account can be created on the XSEDE user portal at portal.xsede.org. Once you have an account, you can register through the XSEDE portal.

Slides and more information are available here. The second day’s subject matter will build on what was taught the first day, so participants should attend both sessions.

The mini course covers the basics of using Hadoop and Spark in a Linux environment. Participants should bring a laptop and be able to write C or Fortran and to use a UNIX text editor such as vi or Emacs.

In addition to the general-purpose research supercomputers ITaP Research Computing makes available to Purdue researchers through the Community Cluster Program, ITaP also offers a Hadoop cluster for use by faculty, their students and research staff.

This big data workshop is part of a series of high-performance computing training sessions ITaP sponsors at Purdue through XSEDE, says Megan Dale, who coordinates training for ITaP Research Computing.

The workshop is delivered nationwide using high-definition video conferencing to allow students to interact in real time with course instructors from the Pittsburgh Supercomputing Center and to work in person with local colleagues and experts. At Purdue, staff from ITaP Research Computing will be on hand.

For more information, email rcac-help@purdue.edu.

Originally posted: April 28, 2017  9:21am

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