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Big Data Platforms and Applications

Name: Big Data Platforms and Applications
Brand: Springer Nature Switzerland AG
SKU: 9783030388355
Price: 3882 CZK
Availability: InStock

Case Studies, Methods, Techniques, and Performance Evaluation

Autor: Florin Pop, Gabriel Neagu

Jazyk:

Vazba: Pevná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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3 882 Kč

This book provides a review of advanced topics relating to the theory, research, analysis and implem...

Informace o knize

Autor

Florin Pop, Gabriel Neagu

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2021

Stránek

290

EAN

9783030388355

Enbook ID

25351982

Vydavatel

Springer Nature Switzerland AG

Hmotnost

629

Rozměry

155 x 21 x 23

Kompletní popis

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. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.

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Big Data Platforms and Applications

Case Studies, Methods, Techniques, and Performance Evaluation

Informace o knize

Kompletní popis

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