
Clemson University Engagement Goal
Understand how to deploy, monitor and tune data-intensive systems.
Big Data research at Clemson University includes the development of computational science applications, evaluation of software and hardware infrastructure systems to support Big Data, and design and development of data analytics platforms. We are proud to have Clemson University as one of our long-time academic partners and continue to support their use of HPCC Systems on several big data analytics projects through their Data Intensive Computing Ecosystems (DICE) lab.
Key Contact

Amy Apon, PH.D.
C. Tycho Howle Director, School of Computing
Clemson University
aapon@clemson.edu
Presentations

Tech Talk
Automatically Cluster Your Data with the HPCC Systems Massively Scalable K-Means Machine Learning Bundle

Tech Talk
Using HPCC Systems Machine Learning to Map Public Record Data Descriptions to Standardized Categories
Blogs, Interviews and Media Coverage

Blog
Leveraging and evaluating Kubernetes support on Microsoft Azure with the HPCC Systems Cloud Native Platform

Blog
Deploying HPCC Systems on Microsoft Azure

Blog
Featuring Farah Al Shanik’s 2018 Poster Presentation

Blog
DBSCAB — A Density Based Clustering Method

Blog
Featuring Lili Xu’s 2016 Intern Project

Blog
Automatically Cluster your Data with Massively Scalable K-Means

Interview
10 year anniversary podcast with Lili Xu & Yash Mishra

Webcast
Interview with Amy Apon
