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TZOFFSETFROM:-0600
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20230124T171522Z
LOCATION:C144-145
DTSTART;TZID=America/Chicago:20221114T114500
DTEND;TZID=America/Chicago:20221114T120000
UID:submissions.supercomputing.org_SC22_sess440_ws_bphpcte111@linklings.co
 m
SUMMARY:Sustainable and Scalable Setup for Teaching Big Data Computing
DESCRIPTION:Workshop\n\nSustainable and Scalable Setup for Teaching Big Da
 ta Computing\n\nNgo, Bui\n\nAs more students want to pursue a career in bi
 g data analytics and data science, big data education has become a focal p
 oint in many colleges and universities' curricula. There are many challeng
 es when it comes to teaching and learning big data in a classroom setting.
  One of the biggest challenges is to prepare big data infrastructure to pr
 ovide meaningful hands-on experience to students. Setting up necessary dis
 tributed computing resource is a delicate act for instructors and system a
 dministrators because there is no one size fit all solutions. In this pres
 entation, we propose an approach that facilitates the creation of the comp
 uting environment on both personal computers and public cloud resources. T
 his combined approach meets different needs and can be used in an educatio
 nal setting to facilitate different big data learning activities. We discu
 ss and reflect on our experience using these systems in teaching undergrad
 uate and graduate courses.\n\nSession Format: Recorded\n\nTag: HPC Trainin
 g and Education\n\nRegistration Category: Workshop Reg Pass
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