Large Scale Data Analytics
This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query
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Chung Yik Cho Rong Kun Jason Tan John A. Leong Amandeep S. Sidhu
Large Scale Data Analytics
Studies in Computational Intelligence Data, Semantics and Cloud Computing Volume 806
Series editor Amandeep S. Sidhu, Biological Mapping Research Institute, Perth, WA, Australia e-mail: [email protected]
More information about this series at http://www.springer.com/series/11756
Chung Yik Cho Rong Kun Jason Tan John A. Leong Amandeep S. Sidhu •
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Large Scale Data Analytics
123
Chung Yik Cho Curtin Malaysia Research Institute Curtin University Miri, Sarawak, Malaysia
John A. Leong Curtin Malaysia Research Institute Curtin University Miri, Sarawak, Malaysia
Rong Kun Jason Tan Curtin Malaysia Research Institute Curtin University Miri, Sarawak, Malaysia
Amandeep S. Sidhu Biological Mapping Research Institute Perth, WA, Australia
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISSN 2524-6593 ISSN 2524-6607 (electronic) Data, Semantics and Cloud Computing ISBN 978-3-030-03891-5 ISBN 978-3-030-03892-2 (eBook) https://doi.org/10.1007/978-3-030-03892-2 Library of Congress Control Number: 2018960754 © Springer Nature Switzerland AG 2019 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Contents
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1 1 2 3 4 4
2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 Literature Reviews . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1.1 Process of Life Science Discovery . . . . . . . . . . . . . 2.1.2 The Biological Data Nature . . . . . . . . . . . . . . . . . . . 2.1.3 Constant Evolution of a Domain . . . . . . . . . . . . .
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