The Interactive Data Analytics Service (IDAS) is a high-performance computing (HPC) resource that supports large-scale and collaborative data analytics workflows involving RStudio for R and Jupyter Notebook for Python (but not limited to Python). IDAS features its own HPC and graphics processing units (GPUs) and allows users to perform interactive data analysis tasks with applications used for machine learning and other artificial intelligence workflows.
IDAS Jupyter Notebook serves both general research and classroom needs which were optimized this summer during its pilot phase. A dozen faculty and staff from six departments test-drove the research platform, and classroom attributes were trialed by students in RS Data Scientist Kang Lee’s summer business analytics class.
While the free, RStudio license for classroom use is available, RStudio commercial licensing terms changed and pricing increased midstream as IDAS was being developed. Therefore, until a more affordable and dynamic license distribution method is available, we will proceed with the free classroom license.
About the Toolkit
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data-cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning and much more.
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IDAS Plans for the Future
A remote desktop feature will be added
Users will be able to access to the additional power of Iowa’s Argon computing environment
Commercially-available cloud compute cycles can be purchased for applications that need even more power
Questions? Contact email@example.com.