Practical data science : a guide to building the technology stack for turning data lakes into business assets / Andreas François Vermeulen.

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Practical data science : a guide to building the technology stack for turning data lakes into business assets / Andreas François Vermeulen.

9781484230541 (electronic book)
148423054X (electronic book)
9781484230534
1484230531

Berkeley, CA : Apress, 2018.

New York, NY : Distributed to the book trade worldwide by Springer,

©2018

English

1 online resource (xxv, 805 pages) : illustrations

10.1007/978-1-4842-3054-1 doi

QA76.9.D35

005.7/3

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.

Includes index.

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Online resource; title from PDF title page (SpringerLink, viewed March 2, 2018).

Print version: 9781484230534

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