Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance EvaluationКНИГИ » ОС И БД
Название: Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation Автор: Florin Pop, Gabriel Neagu Издательство: Springer Год: 2021 Формат: PDF Страниц: 300 Размер: 10 Mb Язык: English
This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.
Features: * Presents a comprehensive review of the latest developments in big data platforms * Proposes state-of-the-art technological solutions for important issues in big data processing, resource and data management, fault tolerance, and monitoring and controlling * Covers basic theory, new methodologies, innovation trends, experimental results, and implementations of real-world applications
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Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation 
