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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.
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.