Shulph Ink
Big Data Computing: Advances in Technologies, Methodologies, and Applications
Big Data Computing: Advances in Technologies, Methodologies, and Applications
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- More about Big Data Computing: Advances in Technologies, Methodologies, and Applications
This book provides an in-depth understanding of recent advances in big data computing technologies,methodologies,and applications,including machine learning,deep learning,graph processing,and more. It is designed for graduate students and researchers in high-performance computing,data mining,knowledge discovery,and distributed computing.
Format: Hardback
Length: 362 pages
Publication date: 22 December 2023
Publisher: Taylor & Francis Ltd
This comprehensive book delves into the realm of recent advancements in big data computing technologies, methodologies, and applications, offering an in-depth understanding of the field. It begins by providing introductory details about key big data computing models such as Apache Hadoop, MapReduce, Hive, Pig, Mahout, in-memory storage systems, NoSQL databases, and big data streaming services like Apache Spark, Kafka, and more. Furthermore, it explores the latest developments in big data computing applications, including machine learning, deep learning, graph processing, and numerous other areas.
The book features a comprehensive analysis of advanced aspects of big data challenges and enabling technologies. It employs real-world examples and dataset-based experiments to explain computing models, making them accessible and practical for readers. Each chapter includes case studies, quality diagrams, and demonstrations to reinforce the concepts discussed. Additionally, the book discusses modifications and optimizations of existing technologies, as well as introducing novel big data computing models. It also provides references to machine learning, deep learning, and graph processing, making it an invaluable resource for graduate students and researchers in high-performance computing, data mining, knowledge discovery, and distributed computing.
By exploring these topics, this book aims to equip readers with the knowledge and skills necessary to navigate the complex world of big data computing and make meaningful contributions to this rapidly evolving field.
Weight: 890g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032555607
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