Practical Data Science

A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

Autor: Andreas François Vermeulen

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Editura: APress

Disponibilitate: În depozitul extern

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Learn how to build a data science technology stack and perform good data science with repeatable met...

Informații despre carte

Autor

Andreas François Vermeulen

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

805

EAN

9781484230534

ISBN

1484230531

Enbook ID

18122101

Editura

APress

Greutate

1582

Dimensiuni

178 x 254 x 42

Descriere completă

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 Learn Become fluent in the essential concepts and terminology of data science and data engineering Build and use a technology stack that meets industry criteria Master the methods for retrieving actionable business knowledge Coordinate the handling of polyglot data types in a data lake for repeatable results Who This Book Is For Data 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

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Practical Data Science

A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets

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