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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: | Zürich |
| 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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_Spillner_Operating-systems-and-infrastructure-in-Data-Science.pdf | 1.56 MB | Adobe PDF |  View/Open |
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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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