Home // FASSI 2019, The Fifth International Conference on Fundamentals and Advances in Software Systems Integration // View article
Authors:
Steve Guhr
Jan-Hendrik Martenson
Hans Laser
Jannes Gless
Detlef Amendt
Benjamin Schantze
Svetlana Gerbel
Keywords: Data Science as a Service; reproducible research; enterprise information technology; self-services; cloud infrastructure data science platform.
Abstract:
A data scientific process (e.g., Obtain, Scrub, Explore, Model, and iNterpret (OSEMN)) usually consists of different steps and can be understood as an umbrella for the combination of different most modern techniques and tools for the extraction of information and knowledge. In this paper, we show a prototypical implementation for the efficient use of available compute center resources as a self-service platform on enterprise technology to support data-driven research. Scientific requirements for reproducibility and comprehensibility are to be taken into account.
Pages: 43 to 47
Copyright: Copyright (c) IARIA, 2019
Publication date: October 27, 2019
Published in: conference
ISSN: 2519-8475
ISBN: 978-1-61208-750-4
Location: Nice, France
Dates: from October 27, 2019 to October 31, 2019