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Scientific Data Management

€78.99
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Abundance Ratios
advanced scientific data processing
Bitmap Indexes
Category=PDN
Category=UN
Compute Nodes
data lineage tracking
Disk Cache
distributed file systems
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ESG
Flash Memory
Geospatial Data
Geospatial Data Integration
Geospatial Data Management
Geospatial Data Repositories
Geospatial Web Services
High Performance Storage System
IBM Blue Gene
LHC Experiment
Mass Storage Systems
Metadata Catalog
metadata extraction techniques
multi-disciplinary data analysis
Power Consumption
Provenance Graph
QoS Management
Query Response Time
RDF Triple Store
scientific workflow automation
simulation data management
SRM
Tape Drives
Visual Data Analysis
WS

Product details

  • ISBN 9780367384760
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 18 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

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
About

Arie Shoshani is a senior staff scientist at Lawrence Berkeley National Laboratory, where he heads the Scientific Data Management Research Group. Dr. Shoshani is also the director of the Scientific Data Management Center, one of several large computer science centers supported by the SciDAC program of the U.S. Department of Energy.

Doron Rotem is a senior staff scientist at Lawrence Berkeley National Laboratory, where he heads the research program on scientific data management.