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Practical data science : a guide to building the technology stack for turning data lakes into business assets

Author: Andreas François Vermeulen
Publisher: [Berkeley, California] : Apress, [2018] ©2018
Series: Books for professionals by professionals.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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  Read more...
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Document Type: Book
All Authors / Contributors: Andreas François Vermeulen
ISBN: 1484230531 9781484230534
OCLC Number: 1001988600
Notes: Includes index.
Description: xxv, 805 pages : illustrations ; 26 cm
Contents: Data science technology stack --
Bermeulen-Krennwallner-Hillman-Clark --
Layered framework --
Business layer --
Utility layer --
Three management layers --
Retrieve superstep --
Assess superstep --
Process superstep --
Transform superstep --
Organize and report supersteps.
Series Title: Books for professionals by professionals.
Responsibility: Andreas François Vermeulen.

Abstract:

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. --

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