A Guide to Using Princeton’s Computing Clusters to Handle Big Data

As I mentioned in my last post, this summer, I assisted in research by Dr. Kalhor at the Princeton’s Center for Policy Research on Energy and the Environment (C-PREE) in examining the effect of anomalous weather on economic activity as part of an internship funded by the High Meadows Environmental Institute (HMEI) at Princeton University. While my previous post focused on my insights in preparing for internships to maximize your experience, in this post, I want to focus on one of the technical challenges that I faced during the internship: (a) handling big data; and (b) one of the powerful tools that we have as students at Princeton students to handle large amounts of data –  Princeton’s large computing clusters.

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