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Introduction to AWS for Research
August 6, 2020 @ 3:00 pm - 5:30 pm
Instructors: Kevin Murakoshi, Claudiu Farcas, and Danyell Wilt
Date: August 6, 2020
Time: 3 – 5:30 ( 2 hours + 30min Q&A)
This workshop will introduce you to cloud computing, Amazon Web Solutions’ infrastructure (including AWS Regions and Availability Zones), and the types of workloads that are a good fit for AWS. This session includes a hands-on component where you will launch a compute instance and install R on AWS using a graphical user interface (GUI). The last 30 minutes of this workshop are reserved for Q&A and continued practice on the platform.
Advanced registration is REQUIRED for this workshop. UC Davis DataLab Affiliates and UC students have priority registration. Registration coming soon.
Note that while this workshop is similar in lecture-content to the “Introduction to AWS with Juypter Notebooks,” it does NOT require prior experience with Python and Jupyter notebooks as it will use the AWS GUI.
-Registration is required for this workshop.
-No prior experience with AWS is necessary.
At the end of this workshop, attendees will be able to:
– Identify good use cases for research on AWS
-Navigate the AWS Management Console
-Launch and Terminate an EC2 compute instance and install R Studio (or other package).
-Where to go to learn more!
About the instructors:
Kevin Murakoshi is a Sr. Solutions Architect at AWS working with the Northern California UC Schools. Prior to joining AWS, Kevin worked at UC Davis in IET where he supported a wide range of tools ranging from critical campus infrastructure to reasearch IT.
Claudiu Farcas is a Sr. Solutions Architect at AWS in the Higher Education vertical covering the UC campuses in Southern California. Prior to AWS, he was a research scientist at UCSD for over a decade developing multiple large-scale national research platforms in a variety of fields as diverse as ocean sciences, proteomics, genomics, biomedical informatics, green energy, etc.
Danyell Wilt is a Sr. Solutions Architect at AWS working with UC Academic Medical Centers. Prior to joining AWS, he helped design and operationalize distributed teleradiology platforms supporting hundreds of hospitals and millions of patient exams which improved patient care and turn around time for those facilities.