Effective Data Science Infrastructure: How to Make Data Scientists Productive - Tapa blanda

Tuulos, Ville

 
9781617299193: Effective Data Science Infrastructure: How to Make Data Scientists Productive
Tapa blanda
ISBN 10: 1617299197 ISBN 13: 9781617299193
Editorial: Manning Publications, 2022

Sinopsis

Effective Data Science Infrastructure is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data driven companies to manage their cutting edge data infrastructure.

As you work through this easy-to-follow guide, you'll set up end-to end infrastructure from the ground up, with a fully customizable process you can easily adapt to your company. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. Throughout, you'll follow a human-centric approach focused on user experience and meeting the unique needs of data scientists.

About the Technology
Turning data science projects from small prototypes to sustainable business processes requires scalable and reliable infrastructure. This book lays out the workflows, components, and methods of the full infrastructure stack for data science, from data warehousing and scalable compute to modeling frameworks.

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Acerca del autor

Ville Tuulos has been developing tools and infrastructure for data science and machine learning for over two decades. At Netflix, he designed and built Metaflow, a full-stack framework for data science. Currently, he is the CEO of a startup focusing on data science infrastructure.

De la contraportada

Effective Data Science Infrastructure How to make data scientists more productive is a guide to building infrastructure that will supercharge data science projects and data scientists. Based on state-of-the-art practices that power the massive data operations of Netflix, this book offers techniques and patterns relevant to companies of all shapes and sizes. You'll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python.

As you work through this easy-to-follow guide, you'll set up end-to-end infrastructure from the ground up, with a fully customizable process you can easily adapt to your company. You'll build a cloud-based development environment that covers local prototyping and deployment to production, set up infrastructure that supports a real-world machine learning application, and handle a large-scale application for processing hundreds of gigabytes of data. Throughout, you'll follow a human-centric approach focused on user experience and meeting the unique needs of data scientists.

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Editorial
Manning Publications
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1617299197
ISBN 13 
9781617299193
Encuadernación
Tapa blanda
Número de páginas
325
Contacto del fabricante
no disponible
Persona responsable
no disponible