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

✍ Scribed by Andreas François Vermeulen (auth.)

Publisher
Apress
Year
2018
Tongue
English
Leaves
821
Edition
1
Category
Library
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✦ Synopsis

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

✦ Table of Contents

Front Matter ....Pages i-xxv
Data Science Technology Stack (Andreas François Vermeulen)....Pages 1-13
Vermeulen-Krennwallner-Hillman-Clark (Andreas François Vermeulen)....Pages 15-38
Layered Framework (Andreas François Vermeulen)....Pages 39-51
Business Layer (Andreas François Vermeulen)....Pages 53-83
Utility Layer (Andreas François Vermeulen)....Pages 85-117
Three Management Layers (Andreas François Vermeulen)....Pages 119-145
Retrieve Superstep (Andreas François Vermeulen)....Pages 147-273
Assess Superstep (Andreas François Vermeulen)....Pages 275-420
Process Superstep (Andreas François Vermeulen)....Pages 421-526
Transform Superstep (Andreas François Vermeulen)....Pages 527-684
Organize and Report Supersteps (Andreas François Vermeulen)....Pages 685-786
Back Matter ....Pages 787-805

✦ Subjects

Data Mining and Knowledge Discovery

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