Big Data Technologies and Applications
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The fir
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g Data Technologies and Applications
Big Data Technologies and Applications
Borko Furht Flavio Villanustre •
Big Data Technologies and Applications
123
Borko Furht Department of Computer and Electrical Engineering and Computer Science Florida Atlantic University Boca Raton, FL USA
ISBN 978-3-319-44548-9 DOI 10.1007/978-3-319-44550-2
Flavio Villanustre LexisNexis Risk Solutions Alpharetta, GA USA
ISBN 978-3-319-44550-2
(eBook)
Library of Congress Control Number: 2016948809 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved 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 such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The scope of this book includes leading edge in big data systems, architectures, and applications. Big data computing refers to capturing, managing, analyzing, and understanding the data at volumes and rates that push the frontiers of current technologies. The challenge of big data computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra large data into valuable knowledge. Big data and data-intensive computing demand a fundamentally different set of principles than mainstream computing. Big data applications typically are well suited for large-scale parallelism over the data and also require extremely high degree of fault tolerance, reliability, and availability. In addition, most big data applications require relatively fast response. The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution to big data problems developed by LexisNexis Risk Solutions. This book comprises of three parts, which consists of 15 chapters. Part I on Big Data Technologies includes the chapters dealing with introduction to big data concepts and techniques
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