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.
Check out Dr. Shoshani discuss the book during an interview with
International Science Grid This Week (iSGTW): http:
//www.isgtw.org/?pid=1002259
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