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Massachusetts Open Cloud Tutorials - October 4, 2017
Please complete this registration to confirm your spot at the Massachusetts Open Cloud tutorials on October 4, 2017 at Boston University.

Tutorial Sessions
Wednesday, October 4, 2017
9:00AM- 12:00PM - Tutorials
*Please note that we are using the registration responses to determine the details of the Tutorial Sessions. Please rank the sessions in order of your preference to request a spot. Tutorial confirmation emails will be sent to those that request a spot a few days prior to the sessions. Capacity may be capped.

Contact: Jennifer Stacy, (781) 308-1730 or jstacy@bu.edu

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Please rank the Tutorials you are interested in attending in order of preference. Tutorial confirmation emails will be sent to those that register below a few days prior to the sessions.
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OpenStack: The MOC offers an Infrastructure as a Service (IaaS) offering based on OpenStack, providing users with self-service access to virtual machines, object storage, and on-demand HDFS environments (Hadoop, Spark, PIG, etc.). This tutorial will show you how to get started using this environment.
MOC OpenShift: On top of our OpenStack service, the MOC and Red Hat have just started offering an OpenShift service. OpenShift offers users a self-scaling container platform with support for anything that can be containerized including web frameworks, databases, and messaging queues. In seconds, one can spin up new containers along with rich Continuous Integration and Continuous Deployment capabilities built in. This tutorial will introduce you to the essentials of OpenShift and the underlying Kubernetis/Docker technologies upon which it is built.
Cloud Dataverse & Big Data: Cloud Dataverse is a collaboration between the MOC and the Harvard Institute for Quantitative Social Science (IQSS) to enable a repository for storing and sharing datasets hosted in a cloud. This tutorial will show users how to access and share datasets using Cloud Dataverse as well as how to spin up different computational tools on those datasets using the MOC.
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