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Data-Intensive Science 1st edition Terence Critchlow Kerstin Kleese Van Dam

  • SKU: BELL-4747660
Data-Intensive Science 1st edition Terence Critchlow Kerstin Kleese Van Dam
$ 31.00 $ 45.00 (-31%)

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Data-Intensive Science 1st edition Terence Critchlow Kerstin Kleese Van Dam instant download after payment.

Publisher: Chapman and Hall/CRC
File Extension: PDF
File size: 39.02 MB
Pages: 446
Author: Terence Critchlow, Kerstin Kleese van Dam
ISBN: 9781439881392, 9781439881415, 1439881391, 1439881413
Language: English
Year: 2013
Edition: 1

Product desciption

Data-Intensive Science 1st edition Terence Critchlow Kerstin Kleese Van Dam by Terence Critchlow, Kerstin Kleese Van Dam 9781439881392, 9781439881415, 1439881391, 1439881413 instant download after payment.

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world’s most challenging problems.

In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations.

Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.

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