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Data-intensive Systems

Principles and Fundamentals using Hadoop and Spark

  • Book
  • © 2019

Overview

Authors:
  1. Tomasz Wiktorski

    1. Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger, Stavanger, Norway

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  • Introduces students to core concepts before they continue with advanced technical literature
  • Only strictly educational text on the market not tied to just one software framework
  • Clear didactic approach following problems-based learning
  • Balances data analysis and administrative aspects of data-intensive systems, ideal for a first course in the domain

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

Part of the book sub series: SpringerBriefs in Advanced Information and Knowledge Processing (BRIEFSAIKP)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Preface

    • Tomasz Wiktorski
    Pages 1-3

  3. Introduction

    • Tomasz Wiktorski
    Pages 5-17

  4. Hadoop 101 and Reference Scenario

    • Tomasz Wiktorski
    Pages 19-30

  5. Functional Abstraction

    • Tomasz Wiktorski
    Pages 31-40

  6. Introduction to MapReduce

    • Tomasz Wiktorski
    Pages 41-50

  7. Hadoop Architecture

    • Tomasz Wiktorski
    Pages 51-61

  8. MapReduce Algorithms and Patterns

    • Tomasz Wiktorski
    Pages 63-76

  9. NOSQL Databases

    • Tomasz Wiktorski
    Pages 77-84

  10. Spark

    • Tomasz Wiktorski
    Pages 85-97
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Keywords

About this book

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.


Authors and Affiliations

  • Department of Electrical Engineering and Computer Science, Faculty of Science and Technology, University of Stavanger, Stavanger, Norway

    Tomasz Wiktorski

Bibliographic Information

  • Book Title: Data-intensive Systems

  • Book Subtitle: Principles and Fundamentals using Hadoop and Spark

  • Authors: Tomasz Wiktorski

  • Series Title: Advanced Information and Knowledge Processing

  • DOI: https://doi.org/10.1007/978-3-030-04603-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-04602-6Published: 15 January 2019

  • eBook ISBN: 978-3-030-04603-3Published: 01 January 2019

  • Series ISSN: 1610-3947

  • Series E-ISSN: 2197-8441

  • Edition Number: 1

  • Number of Pages: XII, 97

  • Number of Illustrations: 26 b/w illustrations, 1 illustrations in colour

  • Topics: Database Management, Big Data, Big Data/Analytics

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