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Practical Data Science

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

Éditeur :

Apress


Paru le : 2018-02-21

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Description

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 ofpolyglot 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
Pages
805 pages
Collection
n.c
Parution
2018-02-21
Marque
Apress
EAN papier
9781484230534
EAN PDF
9781484230541
Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
80
Taille du fichier
7956 Ko
Prix
62,11 €
EAN EPUB
9781484230541
Informations sur l'ebook
Nombre pages copiables
8
Nombre pages imprimables
80
Taille du fichier
2253 Ko
Prix
62,11 €

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