Big Data Analytics and Machine Learning with Spark

by PICSciE/Research Computing

Training/Workshop Research & Data Analysis

Thu, Apr 7, 2022

4 PM – 5:30 PM EDT (GMT-4)

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Details

This workshop will show participants how to get started with analyzing and training machine learning models on big data using Apache Spark on the Princeton HPC clusters. Spark is a scalable, general-purpose big data processing engine that supports multiple frontend languages including Python and R.

Knowledge prerequisites: Participants should be familiar with Python or R and have some knowledge of data analytics. The workshop assumes that attendees are new to working with big data.

Hardware/software prerequisites: For this workshop, users must have an account on the Adroit cluster, and they should confirm that they can SSH into Adroit *at least 48 hours beforehand*. Details can be found in this guide. THERE WILL BE LITTLE TO NO TROUBLESHOOTING DURING THE WORKSHOP!

Workshop format: Lecture, demonstration and hands-on

Learning objectives: Attendees will learn how to use Apache Spark to analyze large datasets and train machine learning models.
 

Speakers

Jonathan Halverson's profile photo

Jonathan Halverson

Research Software and Computing Training Lead

Princeton University

Jonathan Halverson is the Research Software and Computing Training Lead with PICSciE and Research Computing. He has an expertise in data science and he is a founding organizer of the TensorFlow & PyTorch User Group at Princeton. Prior to his current position, Jonathan performed polymer physics research at the Max Planck Institute for Polymer Research and nanoscience research at Brookhaven National Laboratory. He holds a Ph.D. in Chemical Engineering from CUNY.

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Co-hosted with: GradFUTURES

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