Big Data Platforms and Applications
Big Data Platforms and Applications
Buch
- Case Studies, Methods, Techniques, and Performance Evaluation
- Herausgeber: Gabriel Neagu, Florin Pop
- Springer International Publishing AG, 09/2021
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783030388355
- Bestellnummer: 10737336
- Umfang: 308 Seiten
- Nummer der Auflage: 21001
- Auflage: 1st ed. 2021
- Gewicht: 629 g
- Maße: 241 x 160 mm
- Stärke: 22 mm
- Erscheinungstermin: 29.9.2021
- Serie: Computer Communications and Networks
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Big Data Platforms and Applications
Klappentext
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 neededfor 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.