Alex Gold

DevOps for Data Science (eBook, PDF)

• Format: PDF

Produktbeschreibung

Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 274
• Erscheinungstermin: 19. Juni 2024
• Englisch
• ISBN-13: 9781040034422
• Artikelnr.: 70747381

Autorenporträt

Alex leads the Solutions Engineering team at Posit (formerly RStudio). In that role, he has advised hundreds of organizations of all sizes and levels of sophistication to create production-grade open-source data science environments. Before coming to Posit, he was a data scientist and data science team lead and worked on politics, consulting, and healthcare.

Inhaltsangabe

What is the role of Data Science in orgs? What is the open data science
platform: A centralized location to manage data science dev environment, as
well as test and deploy content to end-users. Components. Determining
requirements for your platform. IT Basics for Data Scientists. Servers and
the Cloud. Networking. Security. Logging into different services. Scaling,
Common Hardware Configurations. Platform Architecture and Management.
Environments. Data Storage and Access. Package Management. Scaling.
Appendix.