Name: Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets (en Inglés)
Price: 851.17 MXN
Availability: InStock
Author: Andreas François Vermeulen
ISBN: 9781484230534

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portada Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Andreas François Vermeulen

Año

2018

Idioma

Inglés

N° páginas

805

Encuadernación

Tapa Blanda

ISBN13

9781484230534

N° edición

Categorías

Tecnología de la información

Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets (en Inglés)

Andreas François Vermeulen (Autor) · Apress · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes Into Business Assets (en Inglés)"

Learn how to build a data science technology stack and perform good data science with repeatable methods. You will learn how to turn data lakes into business assets.The data science technology stack demonstrated in Practical Data Science is built from components in general use in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable results. He shows you how to apply practical methods to extract actionable business knowledge from data lakes consisting of data from a polyglot of data types and dimensions.What You'll LearnBecome fluent in the essential concepts and terminology of data science and data engineeringBuild and use a technology stack that meets industry criteriaMaster the methods for retrieving actionable business knowledgeCoordinate the handling of polyglot data types in a data lake for repeatable results Who This Book Is ForData scientists and data engineers who are required to convert data from a data lake into actionable knowledge for their business, and students who aspire to be data scientists and data engineers