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Data-Intensive Science

In this 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.

März 2017, ca. 448 Seiten, Chapman & Hall/CRC Computational Science, Englisch
Taylor and Francis
978-1-138-19968-2

Weitere Titel der Reihe: Chapman & Hall/CRC Computational Science

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