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

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Yes, you can access Scientific Data Management by Arie Shoshani, Doron Rotem, Arie Shoshani,Doron Rotem in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Front cover
Contents
List of Figures
List of Tables
Acknowledgments
Contirbutors
Introduction
Part I: Storage Technology and Efficient Storage Access
Chapter 1. Storage Technology
Chapter 2. Parallel Data Storage and Access
Chapter 3. Dynamic Storage Management
Part II: Data Transfer and Scheduling
Chapter 4. Coordination of Access to Large-Scale Datasets in Distributed Environments
Chapter 5. High Throughput Data Movement
Part III: Specialized Retrieval Techniques and Database Systems
Chapter 6. Accelerating Queries on Very Large Datasets
Chapter 7. Emerging Database Systems in Support of Scientific Data
Part IV: Data Analysis, Integration, and Visualization Methods
Chapter 8. Scientific Data Analysis*
Chapter 9. Scientific Data Management Challenges in High-Performance Visual Data Analysis
Chapter 10. Interoperability and Data Integration in the Geosciences
Chapter 11. Analyzing Data Streams in Scientific Applications*
Part V: Scientific Process Management
Chapter 12. Metadata and Provenance Management
Chapter 13. Scientific Process Automation and Workflow Management
Conclusions and Future Outlook
Index
Back cover

About this book

Frequently asked questions

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Table of contents