Overview
- 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)
Keywords
About this book
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
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