CC*DNI Engineer: Big Data Enabler for the UW-DMZ

怀俄明大学正在开发一种环境，为研究人员和学生提供访问本地、区域、国家和国际计算、网络和数据存储资源的途径，这些资源是改变科学发现和教育所需的。该大学正在开发一个名为UW-DMZ（怀俄明大学的“科学DMZ”）的外围网络，该网络包含并向Internet2公开大学的外部服务。UW-DMZ通过提供利用高性能、动态网络服务所需的基础设施，增强了基于大计算和大数据的研究。研究是通过从实地工作和传感器网络收集的各种数据、从数据库中挖掘的数据、通过实验室实验观察到的数据或通过模拟生成的数据来提供信息的。将数据从其来源转移到计算和可视化资源，然后再转移到科学世界是至关重要的。CI工程师为没有经历过非常快速的计算机网络或大数据环境的研究人员和学生提供如何最好地使用UW-DMZ设施的基本知识。CI工程师为学生和研究人员提供短期课程，提供更深入、更丰富的体验。通过该大学与杰克逊州立大学在环境水文学方面的重要研究合作，他们的学生和教师接受了访问和使用计算和可视化资源的培训，并获得了如何通过管理和整合大计算和大数据来促进科学发现的第一手经验。

The University of Wyoming is developing an environment providing researchers and students with access to local, regional, national, and international computational, networking, and data storage resources needed to transform scientific discovery and education. The university is developing a perimeter network named UW-DMZ (University of Wyoming "science DMZ") that contains and exposes the university's external facing services to Internet2. UW-DMZ enhances Big Computing and Big Data based research by providing infrastructure needed to leverage high performance, dynamic network services. Research is informed by a wide variety of data collected from field work and sensor networks, mined from databases, observed by lab experiments, or generated by simulations. The movement of data from their source to computational and visualization resources and then to the scientific world is critical.The CI Engineer provides essential knowledge for how to best use the UW-DMZ facilities to researchers and students who have not experienced very fast computer networking or Big Data environments. The CI Engineer provides short courses for students and researchers that provide deeper, enriching experiences. Through the university's significant research collaborations with Jackson State University on environmental hydrology, their students and faculty are trained in accessing and using computational and visualization resources and gain firsthand experience in how to facilitate scientific discovery through management and integration of Big Computing and Big Data.