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Könyv Big Data Platforms and Applications Florin Pop

Big Data Platforms and Applications

Case Studies, Methods, Techniques, and Performance Evaluation

Szerző: Florin Pop, Gabriel Neagu
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: Springer Nature Switzerland AG
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
65 447 Ft
This book provides a review of advanced topics relating to the theory, research, analysis and implem...

Információk a könyvről

Szerző
Florin Pop, Gabriel Neagu
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2021
oldal
290
EAN
9783030388355
Enbook ID
25351982
Kiadó
Springer Nature Switzerland AG
Súly
629
Méretek
155 x 21 x 23

Teljes leírás

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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