Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29169
Publication type: Book
Type of review: Peer review (publication)
Title: Operating systems and infrastructure in data science
Authors: Spillner, Josef
et. al: No
DOI: 10.3218/4168-2
10.21256/zhaw-29169
Extent: 176
Issue Date: 15-Sep-2023
Edition: 1. Auflage
Publisher / Ed. Institution: vdf Hochschulverlag
Publisher / Ed. Institution: Z├╝rich
ISBN: 978-3-7281-4168-2
978-3-7281-4167-5
Language: English
Subjects: Programming; DataOps; Data concept; Application; Tool; Middleware; Collaborative platform; Cloud facility
Subject (DDC): 005: Computer programming, programs and data
Abstract: Modern data scientists work with a number of tools and operating system facilities in addition to online platforms. Mastering these in combination to manage their data and to deploy software, models and data as ready-to-use online services as well as to perform data science and analysis tasks is in the focus of Operating Systems and Infrastructure in Data Science. Readers will come to understand the fundamental concepts of operating systems and to explore plenty of tools in hands-on tasks and thus gradually develop the skills necessary to compose them for programming in the large, an essential capability in their later career. The book guides students through semester studies, acts as reference knowledge base and aids in acquiring the necessary knowledge, skills and competences especially in self-study settings. A unique feature of the book is the associated access to Edushell, a live environment to practice operating systems and infrastructure tasks.
URI: https://digitalcollection.zhaw.ch/handle/11475/29169
Fulltext version: Published version
License (according to publishing contract): CC BY-NC-SA 4.0: Attribution - Non commercial - Share alike 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Appears in collections:Publikationen School of Engineering

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Spillner, J. (2023). Operating systems and infrastructure in data science (1. Auflage). vdf Hochschulverlag. https://doi.org/10.3218/4168-2
Spillner, J. (2023) Operating systems and infrastructure in data science. 1. Auflage. Zürich: vdf Hochschulverlag. Available at: https://doi.org/10.3218/4168-2.
J. Spillner, Operating systems and infrastructure in data science, 1. Auflage. Zürich: vdf Hochschulverlag, 2023. doi: 10.3218/4168-2.
SPILLNER, Josef, 2023. Operating systems and infrastructure in data science. 1. Auflage. Zürich: vdf Hochschulverlag. ISBN 978-3-7281-4168-2
Spillner, Josef. 2023. Operating Systems and Infrastructure in Data Science. 1. Auflage. Zürich: vdf Hochschulverlag. https://doi.org/10.3218/4168-2.
Spillner, Josef. Operating Systems and Infrastructure in Data Science. 1. Auflage, vdf Hochschulverlag, 2023, https://doi.org/10.3218/4168-2.


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