9781032634043 - big data computing: advances in technologies, methodologies, and applications (computational intelligence techniques) (15 resultados)
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Big Data Computing: Advances in Technologies, Methodologies and Applications
Sardar, Tanvir Habib (Editor)/ Pandey, Bishwajeet Kumar (Editor)
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Paperback. Condición: Brand New. 396 pages. 9.18x6.12x9.21 inches. In Stock.
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EUR 64,82
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Paperback. Condición: 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, NoS…QL 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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EUR 79,59
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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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EUR 65,05
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Paperback. Condición: 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, NoS…QL 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 124,24
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Paperback. Condición: 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, NoS…QL 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 102,80
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, MapR…educe, Hive, Pig, Mahout in-memory storage systems, NoSQL databases, and big data streaming services.
