Scientific Data Management: Challenges, Technology, and Deployment

Scientific Data Management: Challenges, Technology, and Deployment



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Arie Shoshani, Doron Rotem, "Scientific Data Management: Challenges, Technology, and Deployment"
Chapman & Hall | 2009 | ISBN: 1420069802 | 590 pages | PDF | 7,9 MB

Dealing with the volume,
complexity, and diversity of data currently being generated by
scientific experiments and simulations often causes scientists to waste
productive time. Scientific Data Management: Challenges, Technology,
and Deployment describes cutting-edge technologies and solutions for
managing and analyzing vast amounts of data, helping scientists focus on
their scientific goals.


The book begins with coverage of efficient storage systems, discussing how
to write and read large volumes of data without slowing the simulation,
analysis, or visualization processes. It then focuses on the efficient
data movement and management of storage spaces and explores emerging
database systems for scientific data. The book also addresses how to
best organize data for analysis purposes, how to effectively conduct
searches over large datasets, how to successfully automate multistep
scientific process workflows, and how to automatically collect metadata
and lineage information.

This book provides a comprehensive
understanding of the latest techniques for managing data during
scientific exploration processes, from data generation to data analysis.
Enhanced by numerous detailed color images, it includes real-world
examples of applications drawn from biology, ecology, geology,
climatology, and more.


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