Data-intensive Systems Principles and Fundamentals using Hadoop and
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 techni
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Tomasz Wiktorski
Data-intensive Systems Principles and Fundamentals using Hadoop and Spark
Advanced Information and Knowledge Processing Advanced Information and Knowledge Processing
Series editors Xindong Wu School of Computing and Informatics University of Louisiana at Lafayette, Lafayette, LA, USA Lakhmi C. Jain University of Technology Sydney, Sydney, Australia
SpringerBriefs in Advanced Information and Knowledge Processing presents concise research in this exciting field. Designed to complement Springer’s Advanced Information and Knowledge Processing series, this Briefs series provides researchers with a forum to publish their cutting-edge research which is not yet mature enough for a book in the Advanced Information and Knowledge Processing series, but which has grown beyond the level of a workshop paper or journal article. Typical topics may include, but are not restricted to: Big Data analytics Big Knowledge Bioinformatics Business intelligence Computer security Data mining and knowledge discovery Information quality and privacy Internet of things Knowledge management Knowledge-based software engineering Machine intelligence Ontology Semantic Web Smart environments Soft computing Social networks SpringerBriefs are published as part of Springer’s eBook collection, with millions of users worldwide and are available for individual print and electronic purchase. Briefs are characterized by fast, global electronic dissemination, standard publishing contracts, easy-to-use manuscript preparation and formatting guidelines and expedited production schedules to assist researchers in distributing their research fast and efficiently.
More information about this series at http://www.springer.com/series/16024
Tomasz Wiktorski
Data-intensive Systems Principles and Fundamentals using Hadoop and Spark
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Tomasz Wiktorski Department of Electrical Engineering and Computer Science Faculty of Science and Technology University of Stavanger Stavanger, Norway
ISSN 1610-3947 ISSN 2197-8441 (electronic) Advanced Information and Knowledge Processing ISSN 2524-5198 ISSN 2524-5201 (electronic) SpringerBriefs in Advanced Information and Knowledge Processing ISBN 978-3-030-04602-6 ISBN 978-3-030-04603-3 (eBook) https://doi.org/10.1007/978-3-030-04603-3 Library of Congress Control Number: 2018962384 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that suc
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