Big Data Management and Processing

Author:   Kuan-Ching Li (Providence University Taiwan) ,  Hai Jiang (Arkansas State University, Jonesboro, USA) ,  Albert Y. Zomaya (University of Sydney, Australia)
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367573614


Pages:   488
Publication Date:   28 April 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Big Data Management and Processing


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Overview

From the Foreword: ""Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies."" ---Sartaj Sahni, University of Florida, USA ""Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.

Full Product Details

Author:   Kuan-Ching Li (Providence University Taiwan) ,  Hai Jiang (Arkansas State University, Jonesboro, USA) ,  Albert Y. Zomaya (University of Sydney, Australia)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.040kg
ISBN:  

9780367573614


ISBN 10:   036757361
Pages:   488
Publication Date:   28 April 2021
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya

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