Research Output per Year
Research Output per Year
Overview
Personal Profile
David Rager is the chief cloud technologist in the Computational Sciences Center at NREL. David has an extensive background in the architecture and development of cloud platforms and applications, data processing and storage systems, web development, and software development. David is a specialist in cloud computing on the Amazon Web Services (AWS) platform who assists researchers and analysts with the adoption of cloud computing services to help reduce or eliminate the technical obstacles to successfully complete their research.
Research Interests
Large-scale hybrid and cloud computing
Big data analysis support
Controlling human sources of greenhouse gases
Education/Academic Qualification
Master, Information Technology, Colorado Technical University
Master, Business Administration, Colorado Technical University
Certificate, Database Manager, Colorado Technical University
Bachelor, International Affairs, University of Colorado Boulder
Certificate, AWS Solutions Architect, Developer, Machine Learning Specialty, Data Analytics Specialty, Database Specialty
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CloudZero Phase 2 Technical Report
Wallace, A., Liao, A., Rager, D., Hasandka, A., Sahu, A., Ryan, N., Drake, S., Rivera, J., Snyder, P., Richardson, B. & Schwalm, K., 2024, 54 p.Research output: NREL › Technical Report
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28 NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning: Preprint
Rager, D. & Andersen, A., 2022. 17 p.Research output: Contribution to conference › Paper
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NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning
Rager, D. & Andersen, A., 2022, Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Revised Selected Papers. Nichols, [.-N., Maccabe, [.-N. ‘., Nutaro, J., Pophale, S., Devineni, P., Ahearn, T. & Verastegui, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 227-246 20 p. (Communications in Computer and Information Science; vol. 1512 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning
Andersen, A. & Rager, D., 2021, 19 p.Research output: NREL › Presentation