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.