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Practical Data Science = A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practical Data Science/ by Andreas François Vermeulen.
Reminder of title:	A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
Author:	Vermeulen, Andreas François.
Description:	XXV, 805 p. 57 illus., 9 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-1-4842-3054-1
ISBN:	9781484230541

Practical Data Science = A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
Vermeulen, Andreas François.

Practical Data ScienceA Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /[electronic resource] :by Andreas François Vermeulen. - 1st ed. 2018. - XXV, 805 p. 57 illus., 9 illus. in color.online resource.

Chapter 1: Data Science Technology Stack -- Chapter 2: Vermeulen - Krennwallner - Hillman - Clark -- Chapter 3: Layered Framework -- Chapter 4: Business Layer -- Chapter 5: Utility Layer -- Chapter 6: Three Management Layers -- Chapter 7: Retrieve Super Step -- Chapter 8: Assess Super Step -- Chapter 9: Process Super Step -- Chapter 10: Transform Super Step -- Chapter 11: Organize and Report Super Step -- .

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.

ISBN: 9781484230541

Standard No.: 10.1007/978-1-4842-3054-1doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Practical Data Science = A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets /
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