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In den WarenkorbZustand: New. First edition Includes bibliographical references and index.
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In den WarenkorbGebunden. Zustand: 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 .
Verlag: Taylor & Francis Ltd Nov 2022, 2022
ISBN 10: 1032299568 ISBN 13: 9781032299563
Sprache: Englisch
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Verlag: Taylor & Francis Ltd, London, 2025
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In den WarenkorbPaperback. Zustand: 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.
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ISBN 10: 1032634049 ISBN 13: 9781032634043
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In den WarenkorbPaperback. Zustand: 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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In den WarenkorbHardcover. Zustand: Brand New. 280 pages. 9.75x6.50x0.75 inches. In Stock.
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In den WarenkorbPaperback. Zustand: 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.
Verlag: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659792144 ISBN 13: 9783659792144
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Like New. Like New. book.