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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.
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.
Prisen for levering afhænger af typen af dit medlemskab, eller om du ikke har et medlemskab.
Hvis du ikke har et medlemsskab er priserne som følger:
| Levering til pakkeshop | 39,95 kr. pr. ordre |
| Hjemmelevering | 59,90 kr. pr. ordre |
Med et guldmedlemsskab er leveringspriserne:
| Levering til pakkeshop. Ordrer under 250 kr. | 34,95 kr. pr. ordre |
| Levering til pakkeshop. Ordrer over 250 kr. | 24,95 kr. pr. ordre |
| Hjemmelevering. Ordrer under 250 kr. | 59,90 kr. pr. ordre |
| Hjemmelevering. Ordrer over 250 kr. | 49,90 kr. pr. ordre |
Med et plating- eller streaming medlemsskab er leveringspriserne:
| Levering til pakkeshop. Ordrer under 250 kr. | 24,95 kr. pr. ordre |
| Levering til pakkeshop. Ordrer over 250 kr. | 0 kr. pr. ordre |
| Hjemmelevering. Ordrer under 250 kr. | 44,90 kr. pr. ordre |
| Hjemmelevering. Ordrer over 250 kr. | 19,95 kr. pr. ordre |
Bemærk venligst, at vi forbeholder os retten til at ændre i et fragtbeløb efter ordreafgivelse, hvis man som kunde har opnået en særlig fragtpris pga. køb for over 250 kr. og efterfølgende retter i sin ordre, så ordrebeløbet kommer under 250 kr. Ovenstående fragtpriser for ordrer under 250 kr. vil i så fald være gældende.
Levering
Varerne sendes indenfor 1-6 hverdage. Den konkrete leveringstid står oplyst ved hver enkelt vare. Levering sker med PostNord eller DAO distribution. Vi leverer kun i Danmark og ikke til Grønland og Færøerne.
Vær opmærksom på, at DAO ofte leverer om natten, og at der ikke skal kvitteres for modtagelse af pakken fra DAO. Hvis ikke DAO kan levere pakken forsvarligt ved dør eller i postkasse,
vil pakken i stedet blive leveret til nærmeste pakkeshop, også selvom du har betalt for hjemmelevering.
