你好! Tracked shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
Type
Physical Book
Illustrated by
Publisher
Author
Language
English
Pages
290
Format
Hardcover
Dimensions
23.4 x 15.6 x 1.9 cm
Weight
0.61 kg.
ISBN13
9783030388355
Categories

Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation

Florin Pop (Illustrated by) · Gabriel Neagu (Illustrated by) · Springer · Hardcover

Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation - Pop, Florin ; Neagu, Gabriel

Cheaper New Book Imported to Taiwan
Delivery: 09 Sep - 22 Sep Shipping: 12 to 16 business days.
NT$ 5,936
Faster New Book Imported to Taiwan
Delivery: 27 Aug - 07 Sep Shipping: 4 to 5 business days.
NT$ 7,103
NT$ 5,936

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation "

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.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Hardcover.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews