This documentation covers the campus shared Interactive Data Analytics Service (IDAS), provided by ITS-RS (Information Technology Services - Research Services). IDAS supports large-scale and collaborative data analytics using interactive tools such as RStudio for R and Jupyter Notebook for Python, R, and Julia. Users will benefit from High Performance Computing (HPC) resources while performing their interactive data analysis tasks.
February 4, 2019 - Project kick-off meeting
April 8, 2019 - Complete stakeholder engagements/requirements analysis
June 4, 2019 - Classroom pilot launch
June 21, 2019 - Research pilot launch
August 19, 2019 - Initial functionality launch
December 26, 2019 - RStudio available for research use. Access to LSS and Argon available.
Cody B Johnson and Giang Rudderham at email@example.com.