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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
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Paperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New. First edition Includes bibliographical references and index.
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Add to basketPaperback. Condition: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.
Condition: New. 1st edition NO-PA16APR2015-KAP.
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
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Add to basketPaperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032634049 ISBN 13: 9781032634043
Language: English
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Add to basketPaperback. Condition: new. Paperback. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services such as Apache Spark, Kafka, and so forth. It also covers developments in big data computing applications such as machine learning, deep learning, graph processing, and many others.Features:Provides comprehensive analysis of advanced aspects of big data challenges and enabling technologies.Explains computing models using real-world examples and dataset-based experiments.Includes case studies, quality diagrams, and demonstrations in each chapter.Describes modifications and optimization of existing technologies along with the novel big data computing models.Explores references to machine learning, deep learning, and graph processing.This book is aimed at graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing. This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Taylor & Francis Ltd Nov 2022, 2022
ISBN 10: 1032299568 ISBN 13: 9781032299563
Language: English
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Add to basketBuch. Condition: Neu. Neuware - The text gives an understanding and concepts of different types of Internet of things and sensor networks along with respective protocols to the new learners in the field of networking. It further covers foundational information of artificial intelligence for telecommunications.
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Add to basketHardcover. Condition: Brand New. 280 pages. 9.75x6.50x0.75 inches. In Stock.
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Add to basketGebunden. Condition: New. Vikas Kumar Jha earned his MTech in computer science engineering from ABV-IIITM, Gwalior, with specialization in advanced networks and a BE degree in electronics and communication engineering from RGPV Bhopal. He did his MTech thesis on .
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Published by LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659792144 ISBN 13: 9783659792144
Language: English
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