Scientific Data Management: Challenges, Technology, and Deployment (Chapman and Hall CRC... at Dominant Systems Book Store

"… Each chapter contains insights and experience gleaned by experts and luminaries in storage who are confronting and managing the data tsunami that has now inundated the leading-edge scientific and supercomputing centers around the world. Individuals in a variety of scientific and commercial areas who are struggling to manage large amounts of data should find this book both educational and useful."
—Ron Farber, Scientific Computing, 2010

Customer Reviews & Comments
Excellent survey of methods and tools to manage massive amounts of scientific data. The chapter "Metadata and Provenance Management" is particularly helpful since this is an area my workgroup has been weak in. Contents List of Figures List of Tables Acknowledgments Contributors 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

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