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Princeton University Library Catalog
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Big data management and processing / edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya.
Format
Book
Language
English
Published/Created
Boca Raton : Taylor and Francis, CRC Press, [2017]
Description
1 online resource
Availability
Available Online
Taylor & Francis eBooks Complete
SCI-TECHnetBASE
Details
Subject(s)
Big data
[Browse]
Data mining
[Browse]
Information storage and retrieval systems
[Browse]
Editor
Jiang, Hai
[Browse]
Li, Kuan-Ching
[Browse]
Zomaya, Albert Y.
[Browse]
Series
Chapman & Hall/CRC big data series
[More in this series]
Summary note
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.
Bibliographic references
Includes bibliographical references and index.
Source of description
Print version record.
ISBN
1315154005
1351640534
1351650041 ((electronic bk.))
1498768083
9781315154008
9781351640534
9781351650045 ((electronic bk.))
9781498768085
OCLC
987791136
Doi
10.1201/9781315154008
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Big data management and processing / edited by Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya.
id
99125242116506421