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  4. Publikationen School of Engineering
Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29169
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dc.contributor.authorSpillner, Josef-
dc.date.accessioned2023-11-17T10:58:03Z-
dc.date.available2023-11-17T10:58:03Z-
dc.date.issued2023-09-15-
dc.identifier.isbn978-3-7281-4168-2de_CH
dc.identifier.isbn978-3-7281-4167-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29169-
dc.description.abstractModern 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.de_CH
dc.format.extent176de_CH
dc.language.isoende_CH
dc.publishervdf Hochschulverlagde_CH
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/de_CH
dc.subjectProgrammingde_CH
dc.subjectDataOpsde_CH
dc.subjectData conceptde_CH
dc.subjectApplicationde_CH
dc.subjectToolde_CH
dc.subjectMiddlewarede_CH
dc.subjectCollaborative platformde_CH
dc.subjectCloud facilityde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleOperating systems and infrastructure in data sciencede_CH
dc.typeBuchde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.publisher.placeZürichde_CH
dc.identifier.doi10.3218/4168-2de_CH
dc.identifier.doi10.21256/zhaw-29169-
zhaw.edition1. Auflagede_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedDistributed Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
zhaw.monitoring.costperiod2023de_CH
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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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