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DOE OSTI · 1869750

DevOps and Data: Faster-Time-to-Knowledge through SageOps, MLOps, and DataOps

Klein, Brandon Thorin·Tyler, Cody·Fields, Samuel
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Abstract

This report describes the approach, investigation, and prototyping efforts to develop an efficient, reusable methodology and reference framework for applying DevOps to disparate data for data science and data analytics at scale, based on focused application of this methodology and reusable reference framework within Sandia National Laboratories’ Pulsed Power community. Additionally, this report reviews: engineered instantiation of the reference framework used for development and production solutions, our experiences and results in using the reference framework, and future plans regarding research and development.

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97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Klein, Brandon Thorin, Tyler, Cody, Fields, Samuel. 2022-05-01. DevOps and Data: Faster-Time-to-Knowledge through SageOps, MLOps, and DataOps. https://doi.org/10.2172/1869750

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