Seifedine Kadry - Big Data

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Big Data: краткое содержание, описание и аннотация

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Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field  Big Data: Concepts, Technology, and Architecture You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. 
Big Data Accessibly organized, 
 includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: 
The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, 
 also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.

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Big Data

Concepts, Technology, and Architecture

Balamurugan Balusamy, Nandhini Abirami. R, Seifedine Kadry, and Amir H. Gandomi

This first edition first published 2021 2021 John Wiley Sons Inc All - фото 1

This first edition first published 2021

© 2021 John Wiley & Sons, Inc.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

The right of Balamurugan Balusamy, Nandhini Abirami. R, Seifedine Kadry, and Amir H. Gandomi to be identified as the author(s) of this work has been asserted in accordance with law.

Registered Office John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA

Editorial Office 111 River Street, Hoboken, NJ 07030, USA

For details of our global editorial offices, customer services, and more information about Wiley products visit us at www.wiley.com.

Wiley also publishes its books in a variety of electronic formats and by print‐on‐demand. Some content that appears in standard print versions of this book may not be available in other formats.

Limit of Liability/Disclaimer of Warranty While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

Library of Congress Cataloging‐in‐Publication Data Applied for:

ISBN 978‐1‐119‐70182‐8

Cover Design: Wiley

Cover Image: © Illus_man /Shutterstock

To My Dear SAIBABA, IDKM KALIAMMA, My Beloved Wife Dr. Deepa Muthiah, Sweet Daughter Rhea, My dear Mother Mrs. Andal, Supporting father Mr. M. Balusamy, and ever‐loving sister Dr. Bhuvaneshwari Suresh. Without all these people, I am no one.

‐Balamurugan Balusamy

To the people who mean a lot to me, my beloved daughter P. Rakshita, and my dear son P. Pranav Krishna.

‐Nandhini Abirami. R

To My Family, and In Memory of My Grandparents Who Will Always Be In Our Hearts And Minds.

‐Amir H. Gandomi

Acknowledgments

Writing a book is harder than I thought and more rewarding than I could have ever imagined. None of this would have been possible without my family. I wish to extend my profound gratitude to my father, Mr. N. J. Rajendran and my mother, Mrs. Mallika Rajendran, for their moral support. I salute you for the selfless love, care, pain, and sacrifice you did to shape my life. Special mention goes to my father, who supported throughout my education, career, and encouraged me to pursue my higher studies. It is my fortune to gratefully acknowledge my sisters, DR. R. Vidhya Lakshmi and Mrs. R. Rajalakshmi Priyanka, for their support and generous care throughout my education and career. They were always beside me during the happy and hard moments to push me and motivate me. With great pleasure, I acknowledge the people who mean a lot to me, my beloved daughter P. Rakshita, and my dear son P. Pranav Krishna without whose cooperation, writing this book would not be possible. I owe thanks to a very special person, my husband, Mr. N. Pradeep, for his continued and unfailing support and understanding. I would like to extend my love and thanks to my dears, Nila Nagarajan, Akshara Nagarajan, Vaibhav Surendran, and Nivin Surendran. I would also like to thank my mother‐in‐law Mrs. Thenmozhi Nagarajan who supported me in all possible means to pursue my career.

About the Author

Balamurugan Balusamyis the professor of Data Sciences and Chief Research Coordinator at Galgotias University, NCR, India. His research focuses on the role of Data Sciences in various domains. He is the author of over a hundred Journal papers and book chapters on Data Sciences, IoT, and Blockchain. He has chaired many International Conferences and had given multiple Keynote addresses in Top Notch conferences across the Globe. He holds a Doctorate degree, masters, and Bachelors degree in Computer Science and Engineering from Premier Institutions. In his spare time, he likes to do Yoga and Meditation.

Nandhini Abirami Ris a first year PhD student and a Research Associate in the School of Information Technology at Vellore Institute of Technology. Her doctoral research investigates the advancement and effectiveness of Generative Adversarial Network in computer vision. She takes a multidisciplinary approach that encompasses the fields of healthcare and human computer interaction. She holds a master's degree in Information Technology from Vellore Institute of Technology, which investigated the effectiveness of machine learning algorithms in predicting heart disease. She worked as Assistant Systems Engineer at Tata Consultancy Services.

Amir H. Gandomiis a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 19,000+ times (H‐index = 64). He has been named as one of the most influential scientific mind and Highly Cited Researcher (top 1% publications and 0.1% researchers) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.

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