Open access
Author
Date
2023-09-22Type
- Monograph
ETH Bibliography
no
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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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000632950Publication status
publishedPublisher
vdf Hochschulverlag AG an der ETH ZürichSubject
Programming; DataOps; Data Concepts; Applications; Workflows; Tools; Middleware; Collaborative Platforms; Cloud FacilitiesOrganisational unit
04829 - vdf Hochschulverlag AG
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ETH Bibliography
no
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