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Data-intensive Systems

Principles and Fundamentals using Hadoop and Spark

  • Tomasz Wiktorski

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Also part of the SpringerBriefs in Advanced Information and Knowledge Processing book sub series (BRIEFSAIKP)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Tomasz Wiktorski
    Pages 1-3
  3. Tomasz Wiktorski
    Pages 5-17
  4. Tomasz Wiktorski
    Pages 19-30
  5. Tomasz Wiktorski
    Pages 31-40
  6. Tomasz Wiktorski
    Pages 41-50
  7. Tomasz Wiktorski
    Pages 51-61
  8. Tomasz Wiktorski
    Pages 63-76
  9. Tomasz Wiktorski
    Pages 77-84
  10. Tomasz Wiktorski
    Pages 85-97

About this book

Introduction

Data-intensive systems are a technological building block supporting Big Data and Data Science applications.This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape.

The material in the book is structured following a problem-based approach. This means that the content in the chapters is focused on developing solutions to simplified, but still realistic problems using data-intensive technologies and approaches. The reader follows one reference scenario through the whole book, that uses an open Apache dataset.

The origins of this volume are in lectures from a master’s course in Data-intensive Systems, given at the University of Stavanger. Some chapters were also a base for guest lectures at Purdue University and Lodz University of Technology.

Keywords

Data-intensive systems Big Data Data Science MapReduce Hadoop

Authors and affiliations

  • Tomasz Wiktorski
    • 1
  1. 1.Department of Electrical Engineering and Computer Science, Faculty of Science and TechnologyUniversity of StavangerStavangerNorway

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-04603-3
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-04602-6
  • Online ISBN 978-3-030-04603-3
  • Series Print ISSN 1610-3947
  • Series Online ISSN 2197-8441
  • Buy this book on publisher's site
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