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Practical Data Science

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

Authors: Vermeulen, Andreas François

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  • Provides the essential concepts and terminology to gain fluency in data science and data engineering 
  • Walks through the steps of building a technology stack on a layered framework to retrieve actionable business knowledge
  • Teaches how to synthesize the polyglot data types in a data lake with repeatable results
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Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3054-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3053-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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

About the authors

Andreas François Vermeulen is Consulting Manager - Business Intelligence, Big Data, Data Science, Machine Learning, and Computational Analytics at Sopra-Steria, and a doctoral researcher at University St. Andrews on future concepts in massive distributed computing, mechatronics, big data, business intelligence, and deep learning. He owns and incubates the “Rapid Information Factory” data processing framework. He is active in developing next-generation processing frameworks and mechatronics engineering with over 35 years of international experience in data processing, software development, and system architecture. Andre is a data scientist, doctoral trainer, corporate consultant, principal systems architect, and speaker/author/columnist on data science, distributed computing, big data, business intelligence, deep learning, and constraint programming. Andre received his bachelor degree at the North West University at Potchefstroom, his Master of Business Administration at University of Manchester, Master of Business Intelligence and Data Science degree at University of Dundee, and Doctor of Philosophy at University of St Andrews.

Table of contents (11 chapters)

  • Data Science Technology Stack

    Vermeulen, Andreas François

    Pages 1-13

  • Vermeulen-Krennwallner-Hillman-Clark

    Vermeulen, Andreas François

    Pages 15-38

  • Layered Framework

    Vermeulen, Andreas François

    Pages 39-51

  • Business Layer

    Vermeulen, Andreas François

    Pages 53-83

  • Utility Layer

    Vermeulen, Andreas François

    Pages 85-117

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3054-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3053-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Practical Data Science
Book Subtitle
A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Andreas François Vermeulen
eBook ISBN
978-1-4842-3054-1
DOI
10.1007/978-1-4842-3054-1
Softcover ISBN
978-1-4842-3053-4
Edition Number
1
Number of Pages
XXV, 805
Number of Illustrations and Tables
48 b/w illustrations, 9 illustrations in colour
Topics